Last update:
Thu Aug 29 07:24:38 MDT 2024
A. K. Banerjee and
G. K. Bhattacharyya A Purchase Incidence Model with Inverse
Gaussian Interpurchase Times . . . . . . 823--829
Jonas H. Ellenberg Statisticians' Significance . . . . . . 1--8
J. O. Ramsay Functional Components of Variation in
Handwriting . . . . . . . . . . . . . . 9--15
Babette A. Brumback and
Louise M. Ryan and
Joel D. Schwartz and
Lucas M. Neas and
Paul C. Stark and
Harriet A. Burge Transitional Regression Models, With
Application to Environmental Time Series 16--27
Edwin S. Iversen, Jr. and
Giovanni Parmigiani and
Donald A. Berry and
Joellen M. Schildkraut Genetic Susceptibility and Survival:
Application to Breast Cancer . . . . . . 28--42
Stuart G. Baker Analyzing a Randomized Cancer Prevention
Trial With a Missing Binary Outcome, an
Auxiliary Variable, and All-or-None
Compliance . . . . . . . . . . . . . . . 43--50
Donna Spiegelman and
Bernard Rosner and
Roger Logan Estimation and Inference for Logistic
Regression With Covariate
Misclassification and Measurement Error
in Main Study/Validation Study Designs 51--61
Weijing Wang and
Martin T. Wells Model Selection and Semiparametric
Inference for Bivariate Failure-Time
Data . . . . . . . . . . . . . . . . . . 62--72
Edsel A. Pena Model Selection and Semiparametric
Inference for Bivariate Failure-Time
Data: Comment . . . . . . . . . . . . . 73--75
Edsel A. Pena Comment: Model Selection and
Semiparametric Inference for Bivariate
Failure-Time Data . . . . . . . . . . . 73
Weijing Wang and
Martin T. Wells Model Selection and Semiparametric
Inference for Bivariate Failure-Time
Data: Rejoinder . . . . . . . . . . . . 75--76
Weijing Wang and
Martin T. Wells Rejoinder: Model Selection and
Semiparametric Inference for Bivariate
Failure-Time Data . . . . . . . . . . . 75
Joel L. Horowitz and
Charles F. Manski Nonparametric Analysis of Randomized
Experiments With Missing Covariate and
Outcome Data . . . . . . . . . . . . . . 77--84
T. E. Raghunathan Nonparametric Analysis of Randomized
Experiments with Missing Covariate and
Outcome Data: Comment . . . . . . . . . 85--87
T. E. Raghunathan Comment: Nonparametric Analysis of
Randomized Experiments With Missing
Covariate and Outcome Data . . . . . . . 85
Joel L. Horowitz and
Charles F. Manski Nonparametric Analysis of Randomized
Experiments with Missing Covariate and
Outcome Data: Rejoinder . . . . . . . . 87--88
Joel L. Horowirtz and
Charles F. Manski Rejoinder: Nonparametric Analysis of
Randomized Experiments With Missing
Covariate and Outcome Data . . . . . . . 87
Sue Duval and
Richard Tweedie A Nonparametric ``Trim and Fill'' Method
of Accounting for Publication Bias in
Meta-Analysis . . . . . . . . . . . . . 89--98
Cyrus R. Mehta and
Nitin R. Patel and
Pralay Senchaudhuri Efficient Monte Carlo Methods for
Conditional Logistic Regression . . . . 99--108
Chuanhai Liu Estimation of Discrete Distributions
With a Class of Simplex Constraints . . 109--120
Jun S. Liu and
Faming Liang and
Wing Hung Wong The Multiple-Try Method and Local
Optimization in Metropolis Sampling . . 121--134
Art Owen and
Yi Zhou Safe and Effective Importance Sampling 135--143
Joseph L. Schafer and
Nathaniel Schenker Inference With Imputed Conditional Means 144--154
Rudolf Beran REACT Scatterplot Smoothers:
Superefficiency Through Basis Economy 155--171
Arne Kovac and
Bernard W. Silverman Extending the Scope of Wavelet
Regression Methods by
Coefficient-Dependent Thresholding . . . 172--183
A. Serroukh and
A. T. Walden and
D. B. Percival Statistical Properties and Uses of the
Wavelet Variance Estimator for the Scale
Analysis of Time Series . . . . . . . . 184--196
Patrick J. Heagerty and
Thomas Lumley Window Subsampling of Estimating
Functions With Application to Regression
Models . . . . . . . . . . . . . . . . . 197--211
Michael Akritas and
Steven Arnold Asymptotics for Analysis of Variance
When the Number of Levels is Large . . . 212--226
Ranjini Natarajan and
Robert E. Kass Reference Bayesian Methods for
Generalized Linear Mixed Models . . . . 227--237
Michal Kulich and
D. Y. Lin Additive Hazards Regression With
Covariate Measurement Error . . . . . . 238--248
Steven Buyske and
Richard Fagerstrom and
Zhiliang Ying Steven Buyske A Class of Weighted Log-Rank Tests for
Survival Data When the Event is Rare . . 249--258
Thomas C. M. Lee A Minimum Description Length--Based
Image Segmentation Procedure, and Its
Comparison With a
Cross-Validation--Based Segmentation
Procedure . . . . . . . . . . . . . . . 259--270
Sharon L. Lohr and
J. N. K. Rao Inference From Dual Frame Surveys . . . 271--280
Adrian E. Raftery and
Martin A. Tanner and
Martin T. Wells [Introduction] . . . . . . . . . . . . . 281--281
Norman E. Breslow Statistics in the Life and Medical
Sciences . . . . . . . . . . . . . . . . 281--282
Adrian E. Raftery and
Martin A. Tanner and
Martin T. Wells Statistics in the Year 2000: Vignettes 281
David Oakes Survival Analysis . . . . . . . . . . . 282--285
Sander Greenland Causal Analysis in the Health Sciences 286--289
Peter Guttorp Environmental Statistics . . . . . . . . 289--292
Kenneth H. Pollock Capture-Recapture Models . . . . . . . . 293--296
Daniel Gianola Statistics in Animal Breeding . . . . . 296--299
Clarice R. Weinberg and
David B. Dunson Some Issues in Assessing Human Fertility 300--303
Louise M. Ryan Statistical Issues in Toxicology . . . . 304--308
Margaret Sullivan Pepe Receiver Operating Characteristic
Methodology . . . . . . . . . . . . . . 308--311
David P. Harrington The Randomized Clinical Trial . . . . . 312--315
Duncan C. Thomas Some Contributions of Statistics to
Environmental Epidemiology . . . . . . . 315--319
B. S. Weir Challenges Facing Statistical Genetics 319--322
Wing Hung Wong Computational Molecular Biology . . . . 322--326
Anonymous Front Matter . . . . . . . . . . . . . . 327--327
Anonymous Book Reviews . . . . . . . . . . . . . . 327
Susan P. Holmes Book Review: \booktitle[untitled] . . . 328--329
William E. Strawderman Book Review: \booktitle[untitled] . . . 329--329
William E. Strawderman Book Review: \booktitle[untitled] . . . 329--330
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 330--331
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 331--331
H. Leon Harter Book Review: \booktitle[untitled] . . . 331--332
Clint W. Coakley Book Review: \booktitle[untitled] . . . 332--333
Michael D. Ernst Book Review: \booktitle[untitled] . . . 333--333
Brett Presnell Book Review: \booktitle[untitled] . . . 333--334
Engin A. Sungur Book Review: \booktitle[untitled] . . . 334--335
Michael L. Stein Book Review: \booktitle[untitled] . . . 335--337
Christian P. Robert Book Review: \booktitle[untitled] . . . 337--339
Donald A. Berry Book Review: \booktitle[untitled] . . . 339--339
M. Anthony Schork Book Review: \booktitle[untitled] . . . 339--340
James Inglis Book Review: \booktitle[untitled] . . . 340--341
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 341--341
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 342--342
Persi Diaconis Book Review: \booktitle[untitled] . . . 342--343
Kasra Hazeghi Book Review: \booktitle[untitled] . . . 343--343
Michael Taksar Book Review: \booktitle[untitled] . . . 343--344
Richard A. Levine Book Review: \booktitle[untitled] . . . 344--345
Ramon C. Littell Book Review: \booktitle[untitled] . . . 345--345
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 346--346
D. Down Book Review: \booktitle[untitled] . . . 346--347
D. M. Rocke Book Review: \booktitle[untitled] . . . 347--348
William E. Strawderman Book Review: \booktitle[untitled] . . . 348--348
Robert L. Taylor Book Review: \booktitle[untitled] . . . 348--348
MTW Book Review: \booktitle[untitled] . . . 349--349
MTW Book Review: \booktitle[untitled] . . . 349--349
MTW Book Review: \booktitle[untitled] . . . 349--349
PE Book Review: \booktitle[untitled] . . . 349--349
PE Book Review: \booktitle[untitled] . . . 349--349
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 349--349
MTW Book Review: \booktitle[untitled] . . . 349--350
MTW Book Review: \booktitle[untitled] . . . 350--350
PE Book Review: \booktitle[untitled] . . . 350--350
Anonymous Back Matter . . . . . . . . . . . . . . ??
Michael R. Elliott and
Roderick J. A. Little A Bayesian Approach to Combining
Information From a Census, a Coverage
Measurement Survey, and Demographic
Analysis . . . . . . . . . . . . . . . . 351--362
Verena M. Trenkel and
David A. Elston and
Stephen T. Buckland Fitting Population Dynamics Models to
Count and Cull Data Using Sequential
Importance Sampling . . . . . . . . . . 363--374
Jason P. Fine and
Ronald J. Bosch Risk Assessment via a Robust Probit
Model, With Application to Toxicology 375--382
C. Hendricks Brown and
Alka Indurkhya and
Sheppard G. Kellam Power Calculations for Data Missing by
Design: Applications to a Follow-Up
Study of Lead Exposure and Attention . . 383--395
Sarah M. Gray and
Ron Brookmeyer Multidimensional Longitudinal Data:
Estimating a Treatment Effect From
Continuous, Discrete, or Time-to-Event
Response Variables . . . . . . . . . . . 396--406
A. P. Dawid Causal Inference Without Counterfactuals 407--424
D. R. Cox Causal Inference Without
Counterfactuals: Comment . . . . . . . . 424--425
George Casella and
Stephen P. Schwartz Causal Inference Without
Counterfactuals: Comment . . . . . . . . 425--427
Judea Pearl Causal Inference Without
Counterfactuals: Comment . . . . . . . . 428--431
James M. Robins and
Sander Greenland Causal Inference Without
Counterfactuals: Comment . . . . . . . . 431--435
Donald B. Rubin Causal Inference Without
Counterfactuals: Comment . . . . . . . . 435--438
Glenn Shafer Causal Inference Without
Counterfactuals: Comment . . . . . . . . 438--442
Larry Wasserman Causal Inference Without
Counterfactuals: Comment . . . . . . . . 442--443
A. P. Dawid Causal Inference Without
Counterfactuals: Rejoinder . . . . . . . 444--448
S. A. Murphy and
A. W. Van Der Vaart On Profile Likelihood . . . . . . . . . 449--465
Peter J. Bickel and
Ya'acov Ritov On Profile Likelihood: Comment . . . . . 466--468
Jianqing Fan and
Wing-Hung Wong On Profile Likelihood: Comment . . . . . 468--471
Bing Li On Profile Likelihood: Comment . . . . . 472--474
Xiaotong Shen On Profile Likelihood: Comment . . . . . 474--477
James M. Robins and
Andrea Rotnitzky and
Mark van der Laan On Profile Likelihood: Comment . . . . . 477--482
S. A. Murphy and
A. W. van der Vaart On Profile Likelihood: Rejoinder . . . . 482--485
Dennis D. Boos and
Ji Zhang Monte Carlo Evaluation of
Resampling-Based Hypothesis Tests . . . 486--492
Shuying Li and
Dennis K. Pearl and
Hani Doss Phylogenetic Tree Construction Using
Markov Chain Monte Carlo . . . . . . . . 493--508
Wolfgang Polonik and
Qiwei Yao Conditional Minimum Volume Predictive
Regions for Stochastic Processes . . . . 509--519
Xihong Lin and
Raymond J. Carroll Nonparametric Function Estimation for
Clustered Data When the Predictor is
Measured Without/With Error . . . . . . 520--534
Andrey Feuerverger and
Peter Hall Methods for Density Estimation in
Thick-Slice Versions of Wicksell's
Problem . . . . . . . . . . . . . . . . 535--546
Ker-Chau Li and
Heng-Hui Lue and
Chun-Houh Chen Interactive Tree-Structured Regression
via Principal Hessian Directions . . . . 547--560
Henry S. Lynn and
Charles E. McCulloch Using Principal Component Analysis and
Correspondence Analysis for Estimation
in Latent Variable Models . . . . . . . 561--572
Donald B. Rubin and
Neal Thomas Combining Propensity Score Matching With
Additional Adjustments for Prognostic
Covariates . . . . . . . . . . . . . . . 573--585
Glen Meeden A Decision Theoretic Approach to
Imputation in Finite Population Sampling 586--595
Janice M. Weinberg and
Stephen W. Lagakos Asymptotic Behavior of Linear
Permutation Tests Under General
Alternatives, With Application to Test
Selection and Study Design . . . . . . . 596--607
Ying Qing Chen and
Mei-Cheng Wang Analysis of Accelerated Hazards Models 608--618
Yijian Huang Two-Sample Multistate Accelerated
Sojourn Times Model . . . . . . . . . . 619--627
Mark P. Becker [Introduction] . . . . . . . . . . . . . 628--629
Andrew W. Lo Finance: a Selective Survey . . . . . . 629--635
Peter E. Rossi and
Greg M. Allenby Statistics and Marketing . . . . . . . . 635--638
Ruey S. Tsay Time Series and Forecasting: Brief
History and Future Research . . . . . . 638--643
Stephen E. Fienberg Contingency Tables and Log-Linear
Models: Basic Results and New
Developments . . . . . . . . . . . . . . 643--647
Michael E. Sobel Causal Inference in the Social Sciences 647--651
Nathaniel L. Beck Political Methodology: a Welcoming
Discipline . . . . . . . . . . . . . . . 651--654
Adrian E. Raftery Statistics in Sociology, 1950--2000 . . 654--661
Michael W. Browne Psychometrics . . . . . . . . . . . . . 661--665
Theodore Eisenberg Empirical Methods and the Law . . . . . 665--669
Yu Xie Demography: Past, Present, and Future 670--673
Anonymous Front Matter . . . . . . . . . . . . . . 674--674
Mary Kathryn Cowles Book Review: \booktitle[untitled] . . . 675--676
Terry M. Therneau Book Review: \booktitle[untitled] . . . 676--677
Deborah J. Street Book Review: \booktitle[untitled] . . . 677--678
John Stufken Book Review: \booktitle[untitled] . . . 679--679
James H. Albert Book Review: \booktitle[untitled] . . . 679--680
Joseph B. Lang Book Review: \booktitle[untitled] . . . 680--681
P. V. Rao Book Review: \booktitle[untitled] . . . 681--682
Emmanuel J. Candes Book Review: \booktitle[untitled] . . . 682--682
Ronald W. Butler Book Review: \booktitle[untitled] . . . 682--683
Paolo Paruolo Book Review: \booktitle[untitled] . . . 683--685
Marek Rutkowski Book Review: \booktitle[untitled] . . . 685--686
Hans Buhlmann Book Review: \booktitle[untitled] . . . 686--686
Hans Eggert Reimers Book Review: \booktitle[untitled] . . . 686--687
Norman R. Swanson Book Review: \booktitle[untitled] . . . 687--688
Rene Garcia Book Review: \booktitle[untitled] . . . 688--688
Susan Holmes Book Review: \booktitle[untitled] . . . 688--688
M. Pratelli Book Review: \booktitle[untitled] . . . 688--689
MTW Book Review: \booktitle[untitled] . . . 689--689
MTW Book Review: \booktitle[untitled] . . . 689--689
RLS Book Review: \booktitle[untitled] . . . 689--689
TJV Book Review: \booktitle[untitled] . . . 689--689
TJV Book Review: \booktitle[untitled] . . . 689--689
TJV Book Review: \booktitle[untitled] . . . 689--689
TJV Book Review: \booktitle[untitled] . . . 689--690
MTW Book Review: \booktitle[untitled] . . . 690--690
MTW Book Review: \booktitle[untitled] . . . 690--690
TJV Book Review: \booktitle[untitled] . . . 690--690
Anonymous Back Matter . . . . . . . . . . . . . . ??
Christopher R. Genovese A Bayesian Time-Course Model for
Functional Magnetic Resonance Imaging
Data . . . . . . . . . . . . . . . . . . 691--703
David R. Haynor A Bayesian Time-Course Model for
Functional Magnetic Resonance Imaging
Data: Comment . . . . . . . . . . . . . 704--704
Dave Higdon A Bayesian Time-Course Model for
Functional Magnetic Resonance Imaging
Data: Comment . . . . . . . . . . . . . 705--706
Ranjan Maitra and
Rao P. Gullapalli A Bayesian Time-Course Model for
Functional Magnetic Resonance Imaging
Data: Comment . . . . . . . . . . . . . 707--708
Jonathan Raz A Bayesian Time-Course Model for
Functional Magnetic Resonance Imaging
Data: Comment . . . . . . . . . . . . . 709--711
K. J. Worsley A Bayesian Time-Course Model for
Functional Magnetic Resonance Imaging
Data: Comment . . . . . . . . . . . . . 711--716
Christopher R. Genovese A Bayesian Time-Course Model for
Functional Magnetic Resonance Imaging
Data: Rejoinder . . . . . . . . . . . . 716--719
George T. Duncan and
Sumitra Mukherjee Optimal Disclosure Limitation Strategy
in Statistical Databases: Deterring
Tracker Attacks through Additive Noise 720--729
Michael R. Elliott and
Roderick J. A. Little and
Steve Lewitzky Subsampling Callbacks to Improve Survey
Efficiency . . . . . . . . . . . . . . . 730--738
Dan A. Black and
Mark C. Berger and
Frank A. Scott Bounding Parameter Estimates with
Nonclassical Measurement Error . . . . . 739--748
Ralph B. D'Agostino, Jr. and
Donald B. Rubin Estimating and Using Propensity Scores
with Partially Missing Data . . . . . . 749--759
Richard Royall On the Probability of Observing
Misleading Statistical Evidence . . . . 760--768
Michael Evans On the Probability of Observing
Misleading Statistical Evidence: Comment 768--769
John D. Kalbfleisch On the Probability of Observing
Misleading Statistical Evidence: Comment 770--771
Robert L. Wolpert On the Probability of Observing
Misleading Statistical Evidence: Comment 771--772
A. C. M. Wong On the Probability of Observing
Misleading Statistical Evidence: Comment 773--773
Richard Royall On the Probability of Observing
Misleading Statistical Evidence:
Rejoinder . . . . . . . . . . . . . . . 773--780
R. Dennis Cook and
Frank Critchley Identifying Regression Outliers and
Mixtures Graphically . . . . . . . . . . 781--794
Paul Gustafson Bayesian Regression Modeling with
Interactions and Smooth Effects . . . . 795--806
Zhide Fang and
Douglas P. Wiens Integer-Valued, Minimax Robust Designs
for Estimation and Extrapolation in
Heteroscedastic, Approximately Linear
Models . . . . . . . . . . . . . . . . . 807--818
Richard Gerlach and
Chris Carter and
Robert Kohn Efficient Bayesian Inference for Dynamic
Mixture Models . . . . . . . . . . . . . 819--828
Jong Tae Kim An Order Selection Criterion for Testing
Goodness of Fit . . . . . . . . . . . . 829--835
Jianqing Fan and
Hui-Nien Hung and
Wing-Hung Wong Geometric Understanding of Likelihood
Ratio Statistics . . . . . . . . . . . . 836--841
Xiaotong Shen Linear Regression with Current Status
Data . . . . . . . . . . . . . . . . . . 842--852
Arnold J. Stromberg and
Ola Hossjer and
Douglas M. Hawkins The Least Trimmed Differences Regression
Estimator and Alternatives . . . . . . . 853--864
Chris J. Lloyd and
M. C. Jones Nonparametric Density Estimation from
Biased Data with Unknown Biasing
Function . . . . . . . . . . . . . . . . 865--876
Andrew S. Mugglin and
Bradley P. Carlin and
Alan E. Gelfand Fully Model-Based Approaches for
Spatially Misaligned Data . . . . . . . 877--887
Zongwu Cai and
Jianqing Fan and
Runze Li Efficient Estimation and Inferences for
Varying-Coefficient Models . . . . . . . 888--902
W. Yung and
J. N. K. Rao Jackknife Variance Estimation under
Imputation for Estimators Using
Poststratification Information . . . . . 903--915
Matteo Fischetti and
Juan Jose Salazar Gonzalez Models and Algorithms for Optimizing
Cell Suppression in Tabular Data with
Linear Constraints . . . . . . . . . . . 916--928
Melanie M. Wall and
Yasuo Amemiya Estimation for Polynomial Structural
Equation Models . . . . . . . . . . . . 929--940
Zongwu Cai and
Jianqing Fan and
Qiwei Yao Functional-Coefficient Regression Models
for Nonlinear Time Series . . . . . . . 941--956
Gilles Celeux and
Merrilee Hurn and
Christian P. Robert Computational and Inferential
Difficulties with Mixture Posterior
Distributions . . . . . . . . . . . . . 957--970
Diane Lambert [Introduction] . . . . . . . . . . . . . 971--971
Doug Nychka Challenges in Understanding the
Atmosphere . . . . . . . . . . . . . . . 972--975
David Vere-Jones Seismology --- a Statistical Vignette 975--978
William S. Cleveland and
Don X. Sun Internet Traffic Data . . . . . . . . . 979--985
Jorma Rissanen and
Bin Yu Coding and Compression: a Happy Union of
Theory and Practice . . . . . . . . . . 986--989
Jerry Lawless Statistics in Reliability . . . . . . . 989--992
Zachary G. Stoumbos and
Marion R. Reynolds, Jr. and
Thomas P. Ryan and
William H. Woodall The State of Statistical Process Control
as We Proceed into the 21st Century . . 992--998
Bert Gunter and
Dan Holder Statistics in Preclinical Pharmaceutical
Research and Development . . . . . . . . 998--1001
Vijay Nair and
Mark Hansen and
Jan Shi Statistics in Advanced Manufacturing . . 1002--1005
Anonymous Front Matter . . . . . . . . . . . . . . 1006--1006
R. T. Ogden Book Review: \booktitle[untitled] . . . 1007--1007
R. T. Ogden Book Review: \booktitle[untitled] . . . 1007--1008
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 1008--1008
Martin T. Wells Book Review: \booktitle[untitled] . . . 1008--1008
Elvezio Ronchetti Book Review: \booktitle[untitled] . . . 1008--1009
Persi Diaconis Book Review: \booktitle[untitled] . . . 1009--1009
Edward J. Wegman Book Review: \booktitle[untitled] . . . 1009--1010
Stephen L. Rathbun Book Review: \booktitle[untitled] . . . 1010--1011
Mary Kathryn Cowles Book Review: \booktitle[untitled] . . . 1011--1012
Rebecca Zwick Book Review: \booktitle[untitled] . . . 1012--1013
Gary Gadbury Book Review: \booktitle[untitled] . . . 1013--1014
Guido M. Kuersteiner Book Review: \booktitle[untitled] . . . 1014--1016
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 1016--1016
Michael Sorensen Book Review: \booktitle[untitled] . . . 1016--1017
R. Helmers Book Review: \booktitle[untitled] . . . 1017--1017
Richard L. Dykstra Book Review: \booktitle[untitled] . . . 1017--1018
R. Dobrow Book Review: \booktitle[untitled] . . . 1018--1019
Robert B. Lund Book Review: \booktitle[untitled] . . . 1019--1019
MTW Book Review: \booktitle[untitled] . . . 1019--1019
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 1019--1019
MTW Book Review: \booktitle[untitled] . . . 1019--1020
Anonymous Correction: Exact Confidence Bounds for
All Contrasts of Three or More
Regression Lines . . . . . . . . . . . . 1020--1020
Anonymous Correction: Efficient Monte Carlo
Methods for Conditional Logistic
Regression . . . . . . . . . . . . . . . 1020--1020
MTW Book Review: \booktitle[untitled] . . . 1020--1020
PE Book Review: \booktitle[untitled] . . . 1020--1020
PE Book Review: \booktitle[untitled] . . . 1020--1020
RLS Book Review: \booktitle[untitled] . . . 1020--1020
SRJ Book Review: \booktitle[untitled] . . . 1020--1020
Anonymous Back Matter . . . . . . . . . . . . . . ??
John S. Preisser and
Andrzej T. Galecki and
Kurt K. Lohman and
Lynne E. Wagenknecht Analysis of Smoking Trends with
Incomplete Longitudinal Binary Responses 1021--1031
James P. Hughes and
Barbra A. Richardson Analysis of a Randomized Trial to
Prevent Vertical Transmission of HIV-1 1032--1043
Kari Auranen and
Elja Arjas and
Tuija Leino and
Aino K. Takala Transmission of Pneumococcal Carriage in
Families: a Latent Markov Process Model
for Binary Longitudinal Data . . . . . . 1044--1053
David B. Dunson and
Haibo Zhou A Bayesian Model for Fecundability and
Sterility . . . . . . . . . . . . . . . 1054--1062
Jin Cao and
Drew Davis and
Scott Vander Wiel and
Bin Yu Time-Varying Network Tomography: Router
Link Data . . . . . . . . . . . . . . . 1063--1075
Nicola G. Best and
Katja Ickstadt and
Robert L. Wolpert Spatial Poisson Regression for Health
and Exposure Data Measured at Disparate
Resolutions . . . . . . . . . . . . . . 1076--1088
Bruno Sanso and
Lelys Guenni A Nonstationary Multisite Model for
Rainfall . . . . . . . . . . . . . . . . 1089--1100
Dean A. Follmann On the Effect of Treatment among
Would-Be Treatment Compliers: An
Analysis of the Multiple Risk Factor
Intervention Trial . . . . . . . . . . . 1101--1109
Balgobin Nandram and
J. Sedransk and
Linda Williams Pickle Bayesian Analysis and Mapping of
Mortality Rates for Chronic Obstructive
Pulmonary Disease . . . . . . . . . . . 1110--1118
Paul H. Kvam and
Ram C. Tiwari and
Jyoti N. Zalkikar Nonparametric Bayes Estimation of
Contamination Levels Using Observations
from the Residual Distribution . . . . . 1119--1126
M. J. Bayarri and
James O. Berger $P$ Values for Composite Null Models . . 1127--1142
James M. Robins and
Aad van der Vaart and
Valerie Ventura Asymptotic Distribution of $P$ Values in
Composite Null Models . . . . . . . . . 1143--1156
Hal S. Stern Asymptotic Distribution of $P$ Values in
Composite Null Models: Comment . . . . . 1157--1159
Michael Evans Asymptotic Distribution of $P$ Values in
Composite Null Models: Comment . . . . . 1160--1163
Dennis D. Boos Asymptotic Distribution of $P$ Values in
Composite Null Models: Comment . . . . . 1163--1164
John I. Marden Asymptotic Distribution of $P$ Values in
Composite Null Models: Comment . . . . . 1164--1166
Ludovico Piccinato Asymptotic Distribution of $P$ Values in
Composite Null Models: Comment . . . . . 1166--1167
M. J. Bayarri and
J. O. Berger Asymptotic Distribution of $P$ Values in
Composite Null Models: Rejoinder . . . . 1168--1170
James M. Robins and
Aad van der Vaart and
Valerie Ventura Asymptotic Distribution of $P$ Values in
Composite Null Models: Rejoinder . . . . 1171--1172
Wai-Kwong Cheang and
Gregory C. Reinsel Bias Reduction of Autoregressive
Estimates in Time Series Regression
Model through Restricted Maximum
Likelihood . . . . . . . . . . . . . . . 1173--1184
Gunnar Kjell The Level-Based Stratified Sampling Plan 1185--1191
Robert L. Strawderman Estimating the Mean of an Increasing
Stochastic Process at a Censored
Stopping Time . . . . . . . . . . . . . 1192--1208
Yijian Huang and
C. Y. Wang Cox Regression with Accurate Covariates
Unascertainable: a
Nonparametric-Correction Approach . . . 1209--1219
Jason A. Osborne and
Thomas A. Severini Inference for Exponential Order
Statistic Models Based on an Integrated
Likelihood Function . . . . . . . . . . 1220--1228
Carlos Velasco and
Peter M. Robinson Whittle Pseudo-Maximum Likelihood
Estimation for Nonstationary Time Series 1229--1243
David Poole and
Adrian E. Raftery Inference for Deterministic Simulation
Models: The Bayesian Melding Approach 1244--1255
Mary E. Putt and
Vernon M. Chinchilli A Robust Analysis of Crossover Designs
Using Multisample Generalized
$L$-Statistics . . . . . . . . . . . . . 1256--1262
Ronald H. Randles A Simpler, Affine-Invariant,
Multivariate, Distribution-Free Sign
Test . . . . . . . . . . . . . . . . . . 1263--1268
George Casella Foreword . . . . . . . . . . . . . . . . 1269--1269
James O. Berger Bayesian Analysis: a Look at Today and
Thoughts of Tomorrow . . . . . . . . . . 1269--1276
Lawrence D. Brown An Essay on Statistical Decision Theory 1277--1281
Olivier Cappe and
Christian P. Robert Markov Chain Monte Carlo: 10 Years and
Still Running! . . . . . . . . . . . . . 1282--1286
Bradley P. Carlin and
Thomas A. Louis Empirical Bayes: Past, Present and
Future . . . . . . . . . . . . . . . . . 1286--1289
Ronald Christensen Linear and Log-Linear Models . . . . . . 1290--1293
Bradley Efron The Bootstrap and Modern Statistics . . 1293--1296
Jianqing Fan Prospects of Nonparametric Modeling . . 1296--1300
Alan E. Gelfand Gibbs Sampling . . . . . . . . . . . . . 1300--1304
Edward I. George The Variable Selection Problem . . . . . 1304--1308
Thomas P. Hettmansperger and
Joseph W. McKean and
Simon J. Sheather Robust Nonparametric Methods . . . . . . 1308--1312
James P. Hobert Hierarchical Models: a Current
Computational Perspective . . . . . . . 1312--1316
John I. Marden Hypothesis Testing: From $p$ Values to
Bayes Factors . . . . . . . . . . . . . 1316--1320
Charles E. McCulloch Generalized Linear Models . . . . . . . 1320--1324
Xiao-Li Meng Missing Data: Dial M for ??? . . . . . . 1325--1330
Stephen Portnoy and
Xuming He A Robust Journey in the New Millennium 1331--1335
N. Reid Likelihood . . . . . . . . . . . . . . . 1335--1340
James Robins and
Larry Wasserman Conditioning, Likelihood, and Coherence:
a Review of Some Foundational Concepts 1340--1346
V. Solo The End of Time Series . . . . . . . . . 1346--1349
Ehsan S. Soofi Principal Information Theoretic
Approaches . . . . . . . . . . . . . . . 1349--1353
L. A. Stefanski Measurement Error Models . . . . . . . . 1353--1358
Robert L. Strawderman Higher-Order Asymptotic Approximation:
Laplace, Saddlepoint, and Related
Methods . . . . . . . . . . . . . . . . 1358--1364
William E. Strawderman Minimaxity . . . . . . . . . . . . . . . 1364--1368
George Casella Afterword . . . . . . . . . . . . . . . 1368--1368
Anonymous Front Matter . . . . . . . . . . . . . . 1369--1369
M. C. Jones Book Review: \booktitle[untitled] . . . 1370--1371
Ram Tiwari Book Review: \booktitle[untitled] . . . 1371--1372
Harry Hurd Book Review: \booktitle[untitled] . . . 1372--1373
Hermann Garbers Book Review: \booktitle[untitled] . . . 1373--1373
David S. Stoffer Book Review: \booktitle[untitled] . . . 1373--1373
Sylvia Fruhwirth-Schnatter Book Review: \booktitle[untitled] . . . 1373--1374
William J. Padgett Book Review: \booktitle[untitled] . . . 1374--1375
Robert B. Lund Book Review: \booktitle[untitled] . . . 1375--1376
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 1376--1376
Tim Hesterberg Book Review: \booktitle[untitled] . . . 1376--1377
Persi Diaconis Book Review: \booktitle[untitled] . . . 1377--1378
Laurent Saloff-Coste Book Review: \booktitle[untitled] . . . 1378--1378
K. Sigman Book Review: \booktitle[untitled] . . . 1378--1379
Tomasz Rolski Book Review: \booktitle[untitled] . . . 1379--1380
Uwe Schmock Book Review: \booktitle[untitled] . . . 1380--1381
MTW Book Review: \booktitle[untitled] . . . 1381--1381
MTW Book Review: \booktitle[untitled] . . . 1381--1381
SRJ Book Review: \booktitle[untitled] . . . 1381--1381
RVL Book Review: \booktitle[untitled] . . . 1381--1382
MTW Book Review: \booktitle[untitled] . . . 1382--1382
MTW Book Review: \booktitle[untitled] . . . 1382--1382
MTW Book Review: \booktitle[untitled] . . . 1382--1382
RLS Book Review: \booktitle[untitled] . . . 1382--1382
SRJ Book Review: \booktitle[untitled] . . . 1382--1382
SRJ Book Review: \booktitle[untitled] . . . 1382--1382
Anonymous Volume Information . . . . . . . . . . . 1383--1395
Anonymous Back Matter . . . . . . . . . . . . . . ??
Cavan Reilly and
Andrew Gelman and
Jonathan Katz Poststratification Without Population
Level Information on the Poststratifying
Variable With Application to Political
Polling . . . . . . . . . . . . . . . . 1--11
William M. Bolstad and
Samuel O. Manda Investigating Child Mortality in Malawi
Using Family and Community Random
Effects: a Bayesian Analysis . . . . . . 12--19
Peter E. Rossi and
Zvi Gilula and
Greg M. Allenby Overcoming Scale Usage Heterogeneity: a
Bayesian Hierarchical Approach . . . . . 20--31
Michael D. Larsen and
Donald B. Rubin Iterative Automated Record Linkage Using
Mixture Models . . . . . . . . . . . . . 32--41
Torben G. Andersen and
Tim Bollerslev and
Francis X. Diebold and
Paul Labys The Distribution of Realized Exchange
Rate Volatility . . . . . . . . . . . . 42--55
David Peel and
William J. Whiten and
Geoffrey J. McLachlan Fitting Mixtures of Kent Distributions
to Aid in Joint Set Identification . . . 56--63
Robert G. Aykroyd and
John G. B. Haigh and
Gayle T. Allum Bayesian Methods Applied to Survey Data
From Archeological Magnetometry . . . . 64--76
Jon C. Wakefield and
Sara E. Morris The Bayesian Modeling of Disease Risk in
Relation to a Point Source . . . . . . . 77--91
Minge Xie and
Kay Tatsuoka and
Jerome Sacks and
S. Stanley Young Group Testing With Blockers and
Synergism . . . . . . . . . . . . . . . 92--102
D. Y. Lin and
Z. Ying Semiparametric and Nonparametric
Regression Analysis of Longitudinal Data 103--113
Mei-Cheng Wang and
Ying-Qing Chen Semiparametric and Nonparametric
Regression Analysis of Longitudinal
Data: Comment . . . . . . . . . . . . . 113--114
Xihong Lin and
Raymond J. Carroll Semiparametric and Nonparametric
Regression Analysis of Longitudinal
Data: Comment . . . . . . . . . . . . . 114--116
Donald R. Hoover and
Colin O. Wu Semiparametric and Nonparametric
Regression Analysis of Longitudinal
Data: Comment . . . . . . . . . . . . . 116--119
Jane-Ling Wang and
Wei Wang Semiparametric and Nonparametric
Regression Analysis of Longitudinal
Data: Comment . . . . . . . . . . . . . 119--123
D. Y. Lin and
Z. Ying Semiparametric and Nonparametric
Regression Analysis of Longitudinal
Data: Rejoinder . . . . . . . . . . . . 123--126
Fangyu Gao and
Grace Wahba and
Ronald Klein and
Barbara Klein Smoothing Spline ANOVA for Multivariate
Bernoulli Observations, with Application
to Ophthalmology Data . . . . . . . . . 127--147
T. W. Yee and
C. J. Wild Smoothing Spline ANOVA for Multivariate
Bernoulli Observations, with Application
to Ophthalmology Data: Comment . . . . . 147--151
Sally Wood Smoothing Spline ANOVA for Multivariate
Bernoulli Observations, with Application
to Ophthalmology Data: Comment . . . . . 151--155
Marc Aerts and
Geert Molenberghs Smoothing Spline ANOVA for Multivariate
Bernoulli Observations, with Application
to Ophthalmology Data: Comment . . . . . 155--157
Joe Whittaker Smoothing Spline ANOVA for Multivariate
Bernoulli Observations, with Application
to Ophthalmology Data: Comment . . . . . 157--158
Fangyu Gao and
Grace Wahba and
Ronald Klein and
Barbara Klein Smoothing Spline ANOVA for Multivariate
Bernoulli Observations, with Application
to Ophthalmology Data: Rejoinder . . . . 158--160
Hemant Ishwaran and
Lancelot F. James Gibbs Sampling Methods for Stick
Breaking Priors . . . . . . . . . . . . 161--173
James O. Berger and
Alessandra Guglielmi Bayesian and Conditional Frequentist
Testing of a Parametric Model Versus
Nonparametric Alternatives . . . . . . . 174--184
Changbao Wu and
Randy R. Sitter A Model-Calibration Approach to Using
Complete Auxiliary Information From
Survey Data . . . . . . . . . . . . . . 185--193
Sylvia Frühwirth-Schnatter Markov Chain Monte Carlo Estimation of
Classical and Dynamic Switching and
Mixture Models . . . . . . . . . . . . . 194--209
Paul R. Rosenbaum Stability in the Absence of Treatment 210--219
Michael G. Akritas and
Ingrid Van Keilegom ANCOVA Methods for Heteroscedastic
Nonparametric Regression Models . . . . 220--232
David J. Cummins and
Tom G. Filloon and
Douglas Nychka Confidence Intervals for Nonparametric
Curve Estimates: Toward More Uniform
Pointwise Coverage . . . . . . . . . . . 233--246
Shanggang Zhou and
Xiaotong Shen Spatially Adaptive Regression Splines
and Accurate Knot Selection Schemes . . 247--259
Jiahua Chen and
Jun Shao Jackknife Variance Estimation for
Nearest-Neighbor Imputation . . . . . . 260--269
Siddhartha Chib and
Ivan Jeliazkov Marginal Likelihood From the
Metropolis--Hastings Output . . . . . . 270--281
Edward F. Vonesh and
Hao Wang and
Dibyen Majumdar Generalized Least Squares, Taylor Series
Linearization and Fisher's Scoring in
Multivariate Nonlinear Regression . . . 282--291
Amy H. Herring and
Joseph G. Ibrahim Likelihood-Based Methods for Missing
Covariates in the Cox Proportional
Hazards Model . . . . . . . . . . . . . 292--302
Rafael A. Irizarry Information and Posterior Probability
Criteria for Model Selection in Local
Likelihood Estimation . . . . . . . . . 303--315
Diane Lambert and
José C. Pinheiro and
Don X. Sun Estimating Millions of Dynamic Timing
Patterns in Real Time . . . . . . . . . 316--330
James H. Steiger Driving Fast in Reverse: The
Relationship between Software
Development, Theory, and Education in
Structural Equation Modeling . . . . . . 331--338
Anonymous Front Matter . . . . . . . . . . . . . . 339--339
Anonymous Book Reviews . . . . . . . . . . . . . . 339
Don Ylvisaker Book Review: \booktitle[untitled] . . . 340--341
John E. Rolph Book Review: \booktitle[untitled] . . . 341--342
Martin T. Wells Book Review: \booktitle[untitled] . . . 342--342
Osnat Stramer Book Review: \booktitle[untitled] . . . 342--343
M. P. Wand Book Review: \booktitle[untitled] . . . 343--343
Jeffrey S. Racine Book Review: \booktitle[untitled] . . . 343--345
Timothy J. Vogelsang Book Review: \booktitle[untitled] . . . 345--345
Peter Pedroni Book Review: \booktitle[untitled] . . . 345--346
Timothy J. Vogelsang Book Review: \booktitle[untitled] . . . 346--347
Peter F. Christoffersen Book Review: \booktitle[untitled] . . . 347--348
Bruce Ankenman Book Review: \booktitle[untitled] . . . 348--348
O. Schabenberger Book Review: \booktitle[untitled] . . . 348--349
Peter Callas Book Review: \booktitle[untitled] . . . 349--351
Michael Elliott Book Review: \booktitle[untitled] . . . 351--352
Subir Ghosh Book Review: \booktitle[untitled] . . . 352--352
A. W. van der Vaart Book Review: \booktitle[untitled] . . . 352--353
Piotr Kokoszka Book Review: \booktitle[untitled] . . . 353--354
Timothy J. Vogelsang Book Review: \booktitle[untitled] . . . 354--354
Timothy J. Vogelsang Book Review: \booktitle[untitled] . . . 354--354
Martin T. Wells Book Review: \booktitle[untitled] . . . 354--354
Martin T. Wells Book Review: \booktitle[untitled] . . . 354--354
Martin T. Wells Book Review: \booktitle[untitled] . . . 354--354
Martin T. Wells Book Review: \booktitle[untitled] . . . 354--354
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 354--355
Anonymous Correction: Bayesian Morphology: Fast
Unsupervised Bayesian Image Analysis . . 356--356
Anonymous Correction . . . . . . . . . . . . . . . 356
Anonymous Back Matter . . . . . . . . . . . . . . ??
Rafael A. Irizarry Local Harmonic Estimation in Musical
Sound Signals . . . . . . . . . . . . . 357--367
Eric T. Bradlow and
Peter S. Fader A Bayesian Lifetime Model for the ``Hot
100'' \em Billboard Songs . . . . . . . 368--381
Christopher K. Wikle and
Ralph F. Milliff and
Doug Nychka and
L. Mark Berliner Spatiotemporal Hierarchical Bayesian
Modeling Tropical Ocean Surface Winds 382--397
P. J. Brown and
T. Fearn and
M. Vannucci Bayesian Wavelet Regression on Curves
With Application to a Spectroscopic
Calibration Problem . . . . . . . . . . 398--408
Jonathan Raz and
Bruce I. Turetsky and
Linda W. Dickerson Inference for a Random Wavelet Packet
Model of Single-Channel Event-Related
Potentials . . . . . . . . . . . . . . . 409--420
Stuart G. Baker and
Paul F. Pinsky A Proposed Design and Analysis for
Comparing Digital and Analog
Mammography: Special Receiver Operating
Characteristic Methods for Cancer
Screening . . . . . . . . . . . . . . . 421--428
Steven J. Skates and
Donna K. Pauler and
Ian J. Jacobs Screening Based on the Risk of Cancer
Calculation From Bayesian Hierarchical
Changepoint and Mixture Models of
Longitudinal Markers . . . . . . . . . . 429--439
Miguel A. Hernán and
Babette Brumback and
James M. Robins Marginal Structural Models to Estimate
the Joint Causal Effect of Nonrandomized
Treatments . . . . . . . . . . . . . . . 440--448
Judith D. Bebchuk and
Rebecca A. Betensky Local Likelihood Analysis of Survival
Data With Censored Intermediate Events 449--457
Roger Koenker and
Olga Geling Reappraising Medfly Longevity: a
Quantile Regression Survival Analysis 458--468
Jianguo Sun and
Yang-jin Kim and
John Hewett and
Jane C. Johnson and
Janet Farmer and
Michelle Gibler Evaluation of Traffic Injury Prevention
Programs Using Counting Process
Approaches . . . . . . . . . . . . . . . 469--475
Ranjan Maitra and
Siddhartha R. Dalal Pay Phones, Parking Meters, Vending
Machines, and Optimal Bayesian Decisions
on Collection Times . . . . . . . . . . 476--487
William B. Fairley and
Alan J. Izenman and
Steven M. Crunk Combining Incomplete Information From
Independent Assessment Surveys for
Estimating Masonry Deterioration . . . . 488--499
Franc J. G. M. Klaassen and
Jan R. Magnus Are Points in Tennis Independent and
Identically Distributed? Evidence From a
Dynamic Binary Panel Data Model . . . . 500--509
Ilaria Dimatteo and
Joseph B. Kadane Vote Tampering in a District Justice
Election in Beaver County, PA . . . . . 510--518
Alois Kneip and
Klaus J. Utikal Inference for Density Families Using
Functional Principal Component Analysis 519--532
J. S. Marron Inference for Density Families Using
Functional Principal Component Analysis:
Comment . . . . . . . . . . . . . . . . 532--533
Jeng-Min Chiou and
Hans-Georg Muller Inference for Density Families Using
Functional Principal Component Analysis:
Comment . . . . . . . . . . . . . . . . 534--537
Julian Faraway Inference for Density Families Using
Functional Principal Component Analysis:
Comment . . . . . . . . . . . . . . . . 537--537
J. O. Ramsay Inference for Density Families Using
Functional Principal Component Analysis:
Comment . . . . . . . . . . . . . . . . 538--539
Alois Kneip and
Klaus J. Utikal Inference for Density Families Using
Functional Principal Component Analysis:
Rejoinder . . . . . . . . . . . . . . . 540--542
Hernando C. Ombao and
Jonathan A. Raz and
Rainer von Sachs and
Beth A. Malow Automatic Statistical Analysis of
Bivariate Nonstationary Time Series. In
Memory of Jonathan A. Raz . . . . . . . 543--560
Jun S. Liu and
Faming Liang and
Wing Hung Wong A Theory for Dynamic Weighting in Monte
Carlo Computation . . . . . . . . . . . 561--573
Yuhong Yang Adaptive Regression by Mixing . . . . . 574--588
Hyunjoong Kim and
Wei Yin Loh Classification Trees With Unbiased
Multiway Splits . . . . . . . . . . . . 589--604
Chin-Tsang Chiang and
John A. Rice and
Colin O. Wu Smoothing Spline Estimation for Varying
Coefficient Models With Repeatedly
Measured Dependent Variables . . . . . . 605--619
D. Y. Lin and
L. J. Wei and
Z. Ying Semiparametric Transformation Models for
Point Processes . . . . . . . . . . . . 620--628
Maarten Jansen and
Adhemar Bultheel Empirical Bayes Approach to Improve
Wavelet Thresholding for Image Noise
Reduction . . . . . . . . . . . . . . . 629--639
Jianqing Fan and
Li-Shan Huang Goodness-of-Fit Tests for Parametric
Regression Models . . . . . . . . . . . 640--652
Faming Liang and
Wing Hung Wong Real-Parameter Evolutionary Monte Carlo
With Applications to Bayesian Mixture
Models . . . . . . . . . . . . . . . . . 653--666
Sam Efromovich Density Estimation Under Random
Censorship and Order Restrictions: From
Asymptotic to Small Samples . . . . . . 667--684
Willem Albers and
Wilbert C. M. Kallenberg and
Felix Martini Data-Driven Rank Tests for Classes of
Tail Alternatives . . . . . . . . . . . 685--696
Tae-Hwan Kim and
Halbert White James--Stein-Type Estimators in Large
Samples With Application to the Least
Absolute Deviations Estimator . . . . . 697--705
Su-Chun Cheng and
Naisyin Wang Linear Transformation Models for Failure
Time Data With Covariate Measurement
Error . . . . . . . . . . . . . . . . . 706--716
Peter S. Craig and
Michael Goldstein and
Jonathan C. Rougier and
Allan H. Seheult Bayesian Forecasting for Complex Systems
Using Computer Simulators . . . . . . . 717--729
Maren K. Olsen and
Joseph L. Schafer A Two-Part Random-Effects Model for
Semicontinuous Longitudinal Data . . . . 730--745
Mark H. Hansen and
Bin Yu Model Selection and the Principle of
Minimum Description Length . . . . . . . 746--774
Anonymous Front Matter . . . . . . . . . . . . . . 775--775
Anonymous Book Reviews . . . . . . . . . . . . . . 775
C. M. Anderson-Cook Book Review: \booktitle[untitled] . . . 776--777
Joel Dubin Book Review: \booktitle[untitled] . . . 777--778
Lawrence Brown Book Review: \booktitle[untitled] . . . 778--778
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 778--778
Martin Wells Book Review: \booktitle[untitled] . . . 778--778
Rick Cleary Book Review: \booktitle[untitled] . . . 779--779
C. Geyer Book Review: \booktitle[untitled] . . . 779--779
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 779--780
A. D. Barbour Book Review: \booktitle[untitled] . . . 780--780
Catalin Starica Book Review: \booktitle[untitled] . . . 780--780
Alan C. Kimber Book Review: \booktitle[untitled] . . . 780--781
Alec D. MacCall Book Review: \booktitle[untitled] . . . 781--781
James E. Duarte Book Review: \booktitle[untitled] . . . 781--782
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 782--783
Paul Embrechts Book Review: \booktitle[untitled] . . . 783--783
Paul Embrechts Book Review: \booktitle[untitled] . . . 783--783
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 783--783
Martin Wells Book Review: \booktitle[untitled] . . . 783--783
Martin Wells Book Review: \booktitle[untitled] . . . 783--783
Anonymous Corrections: Classes of Nonseparable,
Spatio-Temporal Stationary Covariance
Functions . . . . . . . . . . . . . . . 784--784
Anonymous Corrections: Smoothing Spline ANOVA for
Multivariate Bernoulli Observations,
with Application to Ophthalmology Data 784--784
Anonymous Corrections . . . . . . . . . . . . . . 784
Anonymous Back Matter . . . . . . . . . . . . . . ??
Dave Higdon and
Steve Yamamoto Estimation of the Head Sensitivity
Function in Scanning Magnetoresistance
Microscopy . . . . . . . . . . . . . . . 785--793
David J. Nott and
William T. M. Dunsmuir and
Robert Kohn and
Frank Woodcock Statistical Correction of a
Deterministic Numerical Weather
Prediction Model . . . . . . . . . . . . 794--804
M. C. M. de Gunst and
H. R. Künsch and
J. G. Schouten Statistical Analysis of Ion Channel Data
Using Hidden Markov Models With
Correlated State-Dependent Noise and
Filtering . . . . . . . . . . . . . . . 805--815
Jeffrey S. Morris and
Naisyin Wang and
Joanne R. Lupton and
Robert S. Chapkin and
Nancy D. Turner and
Mee Young Hong and
Raymond J. Carroll Parametric and Nonparametric Methods for
Understanding the Relationship Between
Carcinogen-Induced DNA Adduct Levels in
Distal and Proximal Regions of the Colon 816--826
Peter H. Westfall and
Keith A. Soper Using Priors to Improve Multiple Animal
Carcinogenicity Tests . . . . . . . . . 827--834
Ajit C. Tamhane and
Charles W. Dunnett and
John W. Green and
Jeffrey D. Wetherington Multiple Test Procedures for Identifying
the Maximum Safe Dose . . . . . . . . . 835--843
Michael E. Miller and
Thomas R. Ten Have and
Beth A. Reboussin and
Kurt K. Lohman and
W. Jack Rejeski A Marginal Model for Analyzing Discrete
Outcomes From Longitudinal Surveys With
Outcomes Subject to Multiple-Cause
Nonresponse . . . . . . . . . . . . . . 844--857
Alan M. Zaslavsky and
Nathaniel Schenker and
Thomas R. Belin Downweighting Influential Clusters in
Surveys: Application to the 1990 Post
Enumeration Survey . . . . . . . . . . . 858--869
Yunfei Paul Li and
Kathleen J. Propert and
Paul R. Rosenbaum Balanced Risk Set Matching . . . . . . . 870--882
Dana P. Goldman and
Jayanta Bhattacharya and
Daniel F. McCaffrey and
Naihua Duan and
Arleen A. Leibowitz and
Geoffrey F. Joyce and
Sally C. Morton Effect of Insurance on Mortality in an
HIV-Positive Population in Care . . . . 883--894
Yan Wang and
Jeremy M. G. Taylor Jointly Modeling Longitudinal and Event
Time Data With Application to Acquired
Immunodeficiency Syndrome . . . . . . . 895--905
Wenzheng Huang and
Scott L. Zeger and
James C. Anthony and
Elizabeth Garrett Latent Variable Model for Joint Analysis
of Multiple Repeated Measures and
Bivariate Event Times . . . . . . . . . 906--914
C. Shane Reese and
James A. Calvin and
John C. George and
Raymond J. Tarpley Estimation of Fetal Growth and Gestation
in Bowhead Whales . . . . . . . . . . . 915--923
Naomi S. Altman Estimation of Fetal Growth and Gestation
in Bowhead Whales: Comment . . . . . . . 923--925
Geof H. Givens and
David Poole Estimation of Fetal Growth and Gestation
in Bowhead Whales: Comment . . . . . . . 926--928
Terrance J. Quinn, II and
Sally A. Mizroch Estimation of Fetal Growth and Gestation
in Bowhead Whales: Comment . . . . . . . 928--933
Judith E. Zeh Estimation of Fetal Growth and Gestation
in Bowhead Whales: Comment . . . . . . . 933--935
C. Shane Reese and
James A. Calvin and
John C. George and
Raymond J. Tarpley Estimation of Fetal Growth and Gestation
in Bowhead Whales: Rejoinder . . . . . . 935--938
Anestis Antoniadis and
Jianqing Fan Regularization of Wavelet Approximations 939--955
Brani Vidakovic Regularization of Wavelet
Approximations: Discussion . . . . . . . 956--958
Pierre Moulin Regularization of Wavelet
Approximations: Discussion . . . . . . . 959--960
T. Tony Cai Regularization of Wavelet
Approximations: Discussion . . . . . . . 960--962
V. Solo Regularization of Wavelet
Approximations: Discussion . . . . . . . 963--964
A. Antoniadis and
J. Fan Regularization of Wavelet
Approximations: Rejoinder . . . . . . . 964--967
Tze Leung Lai and
Samuel Po-Shing Wong Stochastic Neural Networks With
Applications to Nonlinear Time Series 968--981
Chun Shan Wong and
Wai Keung Li On a Mixture Autoregressive Conditional
Heteroscedastic Model . . . . . . . . . 982--995
Efstathia Bura and
R. Dennis Cook Extending Sliced Inverse Regression: the
Weighted Chi-Squared Test . . . . . . . 996--1003
Paul J. Rathouz and
Kung-Yee Liang Locally Ancillary Quasi-Score Models for
Errors-in-Covariates . . . . . . . . . . 1004--1013
Ker-Chau Li and
Kerby Shedden Monte Carlo Deconvolution of Digital
Signals Guided by the Inverse Filter . . 1014--1021
Eva Cantoni and
Elvezio Ronchetti Robust Inference for Generalized Linear
Models . . . . . . . . . . . . . . . . . 1022--1030
Man-Suk Oh and
Adrian E. Raftery Bayesian Multidimensional Scaling and
Choice of Dimension . . . . . . . . . . 1031--1044
Xihong Lin and
Raymond J. Carroll Semiparametric Regression for Clustered
Data Using Generalized Estimating
Equations . . . . . . . . . . . . . . . 1045--1056
Mei-Cheng Wang and
Jing Qin and
Chin-Tsang Chiang Analyzing Recurrent Event Data With
Informative Censoring . . . . . . . . . 1057--1065
Ignacio N. Lobato Testing That a Dependent Process Is
Uncorrelated . . . . . . . . . . . . . . 1066--1076
Krzysztof Nowicki and
Tom A. B. Snijders Estimation and Prediction for Stochastic
Blockstructures . . . . . . . . . . . . 1077--1087
Helle Bunzel and
Nicholas M. Kiefer and
Timothy J. Vogelsang Simple Robust Testing of Hypotheses in
Nonlinear Models . . . . . . . . . . . . 1088--1096
A. M. Foster and
L. Tian and
L. J. Wei Estimation for the Box--Cox
Transformation Model Without Assuming
Parametric Error Distribution . . . . . 1097--1101
Ralitza V. Gueorguieva and
Alan Agresti A Correlated Probit Model for Joint
Modeling of Clustered Binary and
Continuous Responses . . . . . . . . . . 1102--1112
Enrique González and
Josep Ginebra Bayesian Heuristic for Multiperiod
Control . . . . . . . . . . . . . . . . 1113--1121
Cong Han and
Bradley P. Carlin Markov Chain Monte Carlo Methods for
Computing Bayes Factors: a Comparative
Review . . . . . . . . . . . . . . . . . 1122--1132
Anonymous Front Matter . . . . . . . . . . . . . . 1133--1133
Anonymous Book Reviews . . . . . . . . . . . . . . 1133
Roy F. Bartlett Book Review: \booktitle[untitled] . . . 1134--1135
V. J. Carey Book Review: \booktitle[untitled] . . . 1135--1136
James Gentle Book Review: \booktitle[untitled] . . . 1136--1137
Martin T. Wells Book Review: \booktitle[untitled] . . . 1137--1138
Debasis Sengupta Book Review: \booktitle[untitled] . . . 1138--1138
Hyune-Ju Kim Book Review: \booktitle[untitled] . . . 1138--1139
Adrian V. Gheorghe Book Review: \booktitle[untitled] . . . 1139--1140
Mary C. Meyer Book Review: \booktitle[untitled] . . . 1140--1141
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 1141--1141
Martin T. Wells Book Review: \booktitle[untitled] . . . 1141--1141
Martin T. Wells Book Review: \booktitle[untitled] . . . 1141--1141
Martin T. Wells Book Review: \booktitle[untitled] . . . 1141--1141
Martin T. Wells Book Review: \booktitle[untitled] . . . 1141--1141
Martin T. Wells Book Review: \booktitle[untitled] . . . 1141--1141
Anonymous Telegraphic Reviews . . . . . . . . . . 1141
Anonymous Back Matter . . . . . . . . . . . . . . ??
W. Michael O'Fallon Statistical Meetings: View of Past,
Vision of Future . . . . . . . . . . . . 1143--1150
Bradley Efron and
Robert Tibshirani and
John D. Storey and
Virginia Tusher Empirical Bayes Analysis of a Microarray
Experiment . . . . . . . . . . . . . . . 1151--1160
Dhammika Amaratunga and
Javier Cabrera Analysis of Data From Viral DNA
Microchips . . . . . . . . . . . . . . . 1161--1170
Eun Sug Park and
Peter Guttorp and
Ronald C. Henry Multivariate Receptor Modeling for
Temporally Correlated Data by Using MCMC 1171--1183
J. R. Lockwood and
Mark J. Schervish and
Patrick Gurian and
Mitchell J. Small Characterization of Arsenic Occurrence
in Source Waters of U.S. Community Water
Systems . . . . . . . . . . . . . . . . 1184--1193
Brent A. Coull and
James P. Hobert and
Louise M. Ryan and
Lewis B. Holmes Crossed Random Effect Models for
Multiple Outcomes in a Study of
Teratogenesis . . . . . . . . . . . . . 1194--1204
Dean Billheimer and
Peter Guttorp and
William F. Fagan Statistical Interpretation of Species
Composition . . . . . . . . . . . . . . 1205--1214
Peter Müller and
Gary L. Rosner and
Lurdes Y. T. Inoue and
Mark W. Dewhirst A Bayesian Model for Detecting Acute
Change in Nonlinear Profiles . . . . . . 1215--1222
John M. Abowd and
Bruno Crépon and
Francis Kramarz Moment Estimation With Attrition: An
Application to Economic Models . . . . . 1223--1231
Linda H. Y. Yau and
Roderick J. Little Inference for the Complier-Average
Causal Effect From Longitudinal Data
Subject to Noncompliance and Missing
Data, With Application to a Job Training
Assessment for the Unemployed . . . . . 1232--1244
Bo Lu and
Elaine Zanutto and
Robert Hornik and
Paul R. Rosenbaum Matching With Doses in an Observational
Study of a Media Campaign Against Drug
Abuse . . . . . . . . . . . . . . . . . 1245--1253
Joel L. Horowitz Should the DEA's STRIDE Data Be Used for
Economic Analyses of Markets for Illegal
Drugs? . . . . . . . . . . . . . . . . . 1254--1262
Jonathan P. Caulkins [Should the DEA's STRIDE Data Be Used
for Economic Analyses of Markets for
Illegal Drugs?]: Comment . . . . . . . . 1263--1264
William Rhodes and
Ryan Kling [Should the DEA's STRIDE Data Be Used
for Economic Analyses of Markets for
Illegal Drugs?]: Comment . . . . . . . . 1264--1266
Lonnie Magee [Should the DEA's STRIDE Data Be Used
for Economic Analyses of Markets for
Illegal Drugs?]: Comment . . . . . . . . 1266--1268
Jeff Grogger [Should the DEA's STRIDE Data Be Used
for Economic Analyses of Markets for
Illegal Drugs?]: Comment . . . . . . . . 1268--1269
Joel L. Horowitz [Should the DEA's STRIDE Data Be Used
for Economic Analyses of Markets for
Illegal Drugs?]: Rejoinder . . . . . . . 1269--1271
Chunlei Ke and
Yuedong Wang Semiparametric Nonlinear Mixed-Effects
Models and Their Applications . . . . . 1272--1281
Theo Gasser and
Burkhardt Seifert [Semiparametric Nonlinear Mixed-Effects
Models and Their Applications]: Comment 1282--1283
J. O. Ramsay [Semiparametric Nonlinear Mixed-Effects
Models and Their Applications]: Comment 1283--1284
J. L. French and
E. E. Kammann and
M. P. Wand [Semiparametric Nonlinear Mixed-Effects
Models and Their Applications]: Comment 1285--1288
Xihong Lin and
Daowen Zhang [Semiparametric Nonlinear Mixed-Effects
Models and Their Applications]: Comment 1288--1291
Douglas M. Bates and
Mary J. Lindstrom and
Grace Wahba [Semiparametric Nonlinear Mixed-Effects
Models and Their Applications]: Comment 1292--1293
Chunlei Ke and
Yuedong Wang [Semiparametric Nonlinear Mixed-Effects
Models and Their Applications]:
Rejoinder . . . . . . . . . . . . . . . 1294--1298
E. A. Peña and
R. L. Strawderman and
M. Hollander Nonparametric Estimation With Recurrent
Event Data . . . . . . . . . . . . . . . 1299--1315
Hemant Ishwaran and
Lancelot F. James and
Jiayang Sun Bayesian Model Selection in Finite
Mixtures by Marginal Density
Decompositions . . . . . . . . . . . . . 1316--1332
Wolfgang Härdle and
Stefan Sperlich and
Vladimir Spokoiny Structural Tests in Additive Regression 1333--1347
Jianqing Fan and
Runze Li Variable Selection via Nonconcave
Penalized Likelihood and its Oracle
Properties . . . . . . . . . . . . . . . 1348--1360
James O. Berger and
Victor De Oliveira and
Bruno Sansó Objective Bayesian Analysis of Spatially
Correlated Data . . . . . . . . . . . . 1361--1374
Paola Sebastiani and
Marco Ramoni Bayesian Selection of Decomposable
Models With Incomplete Data . . . . . . 1375--1386
Göran Kauermann and
Raymond J. Carroll A Note on the Efficiency of Sandwich
Covariance Matrix Estimation . . . . . . 1387--1396
Jaeyong Lee and
James O. Berger Semiparametric Bayesian Analysis of
Selection Models . . . . . . . . . . . . 1397--1409
S. A. Murphy and
M. J. van der Laan and
J. M. Robins and
Conduct Problems Prevention Research Group Marginal Mean Models for Dynamic Regimes 1410--1423
Thomas M. Braun and
Ziding Feng Optimal Permutation Tests for the
Analysis of Group Randomized Trials . . 1424--1432
Daniel Peña and
Francisco J. Prieto Cluster Identification Using Projections 1433--1445
Hua Yun Chen Weighted Semiparametric Likelihood
Method for Fitting a Proportional Odds
Regression Model to Data From the
Case-Cohort Design . . . . . . . . . . . 1446--1457
Athanasios Kottas and
Alan E. Gelfand Bayesian Semiparametric Median
Regression Modeling . . . . . . . . . . 1458--1468
Yijian Huang and
C. Y. Wang Consistent Functional Methods for
Logistic Regression With Errors in
Covariates . . . . . . . . . . . . . . . 1469--1482
You Sung Park and
Kee Whan Kim and
Jai Won Choi One-Level Rotation Design Balanced on
Time in Monthly Sample and in Rotation
Group . . . . . . . . . . . . . . . . . 1483--1496
Francesco Bartolucci and
Antonio Forcina and
Valentino Dardanoni Positive Quadrant Dependence and
Marginal Modeling in Two-Way Tables With
Ordered Margins . . . . . . . . . . . . 1497--1505
Hoon Kim and
Dongchu Sun and
Robert K. Tsutakawa A Bivariate Bayes Method for Improving
the Estimates of Mortality Rates With a
Twofold Conditional Autoregressive Model 1506--1521
Anonymous Front Matter . . . . . . . . . . . . . . 1522--1522
Anonymous Book Reviews . . . . . . . . . . . . . . 1522
David Ruppert Book Review: \booktitle[untitled] . . . 1523--1524
David Madigan Book Review: \booktitle[untitled] . . . 1524--1524
Ronald Christensen Book Review: \booktitle[untitled] . . . 1524--1525
Alexander J. McNeil Book Review: \booktitle[untitled] . . . 1525--1526
Anonymous [untitled] . . . . . . . . . . . . . . . 1526--1526
Martin T. Wells Book Review: \booktitle[untitled] . . . 1526--1526
Elias Shiu Book Review: \booktitle[untitled] . . . 1527--1527
Geert Dhaene Book Review: \booktitle[untitled] . . . 1527--1528
Rajeshwari Sundaram Book Review: \booktitle[untitled] . . . 1528--1528
Robert J. Boik Book Review: \booktitle[untitled] . . . 1528--1529
William W. Davis Book Review: \booktitle[untitled] . . . 1529--1530
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 1530--1530
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 1530--1530
Martin T. Wells Book Review: \booktitle[untitled] . . . 1530--1531
Kenneth N. Berk Book Review: \booktitle[untitled] . . . 1531--1531
Martin T. Wells Book Review: \booktitle[untitled] . . . 1531--1532
Paul Embrechts Book Review: \booktitle[untitled] . . . 1532--1532
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 1532--1532
Robert B. Lund Book Review: \booktitle[untitled] . . . 1532--1532
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 1532--1532
Stanley Wasserman Book Review: \booktitle[untitled] . . . 1532--1532
Martin T. Wells Book Review: \booktitle[untitled] . . . 1532--1532
Martin T. Wells Book Review: \booktitle[untitled] . . . 1532--1532
Martin T. Wells Book Review: \booktitle[untitled] . . . 1533--1533
Anonymous Corrections: Comparing Classical and
Resistant Outlier Rules . . . . . . . . 1534--1534
Anonymous Corrections: Likelihood-Based Methods
for Missing Covariates in the Cox
Proportional Hazards Model . . . . . . . 1534--1534
Anonymous Corrections . . . . . . . . . . . . . . 1534
Anonymous Volume Information . . . . . . . . . . . 1535--1543
Anonymous Back Matter . . . . . . . . . . . . . . ??
Richard L. Scheaffer Statistical Bridges . . . . . . . . . . 1--7
Valen E. Johnson and
Robert O. Deaner and
Carel P. van Schaik Bayesian Analysis of Rank Data With
Application to Primate Intelligence
Experiments . . . . . . . . . . . . . . 8--17
Alfhild Lien Eide and
Henning Omre and
Bjòrn Ursin Prediction of Reservoir Variables Based
on Seismic Data and Well Observations 18--28
Peter F. Thall and
Hsi-Guang Sung and
Elihu H. Estey Selecting Therapeutic Strategies Based
on Efficacy and Death in Multicourse
Clinical Trials . . . . . . . . . . . . 29--39
Jason Roy and
Xihong Lin Analysis of Multivariate Longitudinal
Outcomes With Nonignorable Dropouts and
Missing Covariates: Changes in Methadone
Treatment Practices . . . . . . . . . . 40--52
Haiqun Lin and
Bruce W. Turnbull and
Charles E. McCulloch and
Elizabeth H. Slate Latent Class Models for Joint Analysis
of Longitudinal Biomarker and Event
Process Data: Application to
Longitudinal Prostate-Specific Antigen
Readings and Prostate Cancer . . . . . . 53--65
Mark R. Segal and
Joseph L. Wiemels Clustering of Translocation Breakpoints 66--76
Sandrine Dudoit and
Jane Fridlyand and
Terence P. Speed Comparison of Discrimination Methods for
the Classification of Tumors Using Gene
Expression Data . . . . . . . . . . . . 77--87
Joseph G. Ibrahim and
Ming-Hui Chen and
Robert J. Gray Bayesian Models for Gene Expression With
DNA Microarray Data . . . . . . . . . . 88--99
Francesca Dominici and
Michael Daniels and
Scott L. Zeger and
Jonathan M. Samet Air Pollution and Mortality: Estimating
Regional and National Dose-Response
Relationships . . . . . . . . . . . . . 100--111
B. M. Golam Kibria and
Li Sun and
James V. Zidek and
Nhu D. Le Bayesian Spatial Prediction of Random
Space--time Fields With Application to
Mapping PM$_{2.5}$ Exposure . . . . . . 112--124
Diana L. Miglioretti and
Colin McCulloch and
Scott L. Zeger Combining Images Across Multiple
Subjects: a Study of Direct Cortical
Electrical Interference . . . . . . . . 125--135
Douglas M. Hawkins and
David J. Olive Inconsistency of Resampling Algorithms
for High-Breakdown Regression Estimators
and a New Algorithm . . . . . . . . . . 136--148
David Ruppert [Inconsistency of Resampling Algorithms
for High-Breakdown Regression Estimators
and a New Algorithm]: Comment . . . . . 148--149
Stephen Portnoy [Inconsistency of Resampling Algorithms
for High-Breakdown Regression Estimators
and a New Algorithm]: Comment . . . . . 149--150
Mia Hubert and
Peter J. Rousseeuw and
Stefan Van Aelst [Inconsistency of Resampling Algorithms
for High-Breakdown Regression Estimators
and a New Algorithm]: Comment . . . . . 151--153
Ricardo A. Maronna and
Victor J. Yohai [Inconsistency of Resampling Algorithms
for High-Breakdown Regression Estimators
and a New Algorithm]: Comment . . . . . 154--155
Douglas M. Hawkins and
David J. Olive [Inconsistency of Resampling Algorithms
for High-Breakdown Regression Estimators
and a New Algorithm]: Rejoinder . . . . 156--159
Scott M. Berry and
Raymond J. Carroll and
David Ruppert Bayesian Smoothing and Regression
Splines for Measurement Error Problems 160--169
Miguel A. Arcones and
Paul H. Kvam and
Francisco J. Samaniego Nonparametric Estimation of a
Distribution Subject to a Stochastic
Precedence Constraint . . . . . . . . . 170--182
Paul R. Rosenbaum Attributing Effects to Treatment in
Matched Observational Studies . . . . . 183--192
Jing Qin and
Denis Leung and
Jun Shao Estimation With Survey Data Under
Nonignorable Nonresponse or Informative
Sampling . . . . . . . . . . . . . . . . 193--200
Masoud Asgharian and
Cyr Emile M'Lan and
David B. Wolfson Length-Biased Sampling With Right
Censoring: An Unconditional Approach . . 201--209
Xiaotong Shen and
Jianming Ye Adaptive Model Selection . . . . . . . . 210--221
Xiaotong Shen Asymptotic Normality of Semiparametric
and Nonparametric Posterior
Distributions . . . . . . . . . . . . . 222--235
Werner Brannath and
Martin Posch and
Peter Bauer Recursive Combination Tests . . . . . . 236--244
Angela Winnett and
Peter Sasieni Adjusted Nelson-Aalen Estimates With
Retrospective Matching . . . . . . . . . 245--256
Lawrence Lin and
A. S. Hedayat and
Bikas Sinha and
Min Yang Statistical Methods in Assessing
Agreement: Models, Issues, and Tools . . 257--270
Edward F. Vonesh and
Hao Wang and
Lei Nie and
Dibyen Majumdar Conditional Second-Order Generalized
Estimating Equations for Generalized
Linear and Nonlinear Mixed-Effects
Models . . . . . . . . . . . . . . . . . 271--283
Alberto Abadie Bootstrap Tests for Distributional
Treatment Effects in Instrumental
Variable Models . . . . . . . . . . . . 284--292
Ajit C. Tamhane and
Brent R. Logan Multiple Test Procedures for Identifying
the Minimum Effective and Maximum Safe
Doses of a Drug . . . . . . . . . . . . 293--301
William F. Christensen and
Yasuo Amemiya Latent Variable Analysis of Multivariate
Spatial Data . . . . . . . . . . . . . . 302--317
Yijian Huang Calibration Regression of Censored
Lifetime Medical Cost . . . . . . . . . 318--327
Ingrid Van Keilegom and
Thomas P. Hettmansperger Inference on Multivariate $M$ Estimators
Based on Bivariate Censored Data . . . . 328--336
Steven L. Scott Bayesian Methods for Hidden Markov
Models: Recursive Computing in the 21st
Century . . . . . . . . . . . . . . . . 337--351
Anonymous Front Matter . . . . . . . . . . . . . . 352--352
Anonymous Book Reviews . . . . . . . . . . . . . . 352
Berton H. Gunter Book Review: \booktitle[untitled] . . . 353--353
Robert J. Gray Book Review: \booktitle[untitled] . . . 353--354
Jim Albert Book Review: \booktitle[untitled] . . . 354--355
Brett D. Presnell Book Review: \booktitle[untitled] . . . 355--355
Shane Henderson Book Review: \booktitle[untitled] . . . 355--356
T. N. Sriram Book Review: \booktitle[untitled] . . . 356--356
A. Dale Horne Book Review: \booktitle[untitled] . . . 356--357
Jerome P. Reiter Book Review: \booktitle[untitled] . . . 357--358
Michael D. Larsen Book Review: \booktitle[untitled] . . . 358--359
Erwin Bolthausen Book Review: \booktitle[untitled] . . . 360--360
Jem N. Corcoran Book Review: \booktitle[untitled] . . . 360--360
Tomasz Rolski Book Review: \booktitle[untitled] . . . 360--361
Paul Rilstone Book Review: \booktitle[untitled] . . . 361--362
Herwig Friedl Book Review: \booktitle[untitled] . . . 362--362
Todd Ogden Book Review: \booktitle[untitled] . . . 362--363
Monnie McGee Book Review: \booktitle[untitled] . . . 363--364
Timothy Cogley Book Review: \booktitle[untitled] . . . 364--364
Thorsten Rheinlaender Book Review: \booktitle[untitled] . . . 364--365
Nick Bingham Book Review: \booktitle[untitled] . . . 365--365
Arnold J. Stromberg Book Review: \booktitle[untitled] . . . 365--366
William F. Fulkerson Book Review: \booktitle[untitled] . . . 366--366
William E. Strawderman Book Review: \booktitle[untitled] . . . 366--366
Yuedong Wang Book Review: \booktitle[untitled] . . . 366--366
Anonymous Correction: The Effect of Insurance on
Mortality in an HIV + Population in Care 367--367
Anonymous Correction . . . . . . . . . . . . . . . 367
Anonymous Back Matter . . . . . . . . . . . . . . ??
Jiancang Zhuang and
Yosihiko Ogata and
David Vere-Jones Stochastic Declustering of Space--time
Earthquake Occurrences . . . . . . . . . 369--380
Balgobin Nandram and
Jai Won Choi Hierarchical Bayesian Nonresponse Models
for Binary Data From Small Areas With
Uncertainty About Ignorability . . . . . 381--388
Mona N. Kanaan and
C. Paddy Farrington Estimation of Waning Vaccine Efficacy 389--397
Jeanne Kowalski and
Marcello Pagano and
Victor DeGruttola A Nonparametric Test of Gene Region
Heterogeneity Associated With Phenotype 398--408
Steven L. Scott and
Edward H. Ip Empirical Bayes and Item-Clustering
Effects in a Latent Variable
Hierarchical Model: a Case Study From
the National Assessment of Educational
Progress . . . . . . . . . . . . . . . . 409--419
Michael R. Elliott and
Trivellore E. Raghunathan and
Jean T. Shope The Effect of Duration and Delay of
Licensure on Risk of Crash: a Bayesian
Analysis of Repeated Time-To-Event
Measures . . . . . . . . . . . . . . . . 420--431
Carmen Fernández and
Gary Koop and
Mark F. J. Steel Multiple-Output Production With
Undesirable Outputs: An Application to
Nitrogen Surplus in Agriculture . . . . 432--442
Peter Bühlmann Sieve Bootstrap With Variable-Length
Markov Chains for Stationary Categorical
Time Series . . . . . . . . . . . . . . 443--456
Peter Hall [Sieve Bootstrap with Variable-Length
Markov Chains for Stationary Categorical
Time Series]: Comment . . . . . . . . . 456--457
Michael Sherman [Sieve Bootstrap with Variable-Length
Markov Chains for Stationary Categorical
Time Series]: Comment . . . . . . . . . 457--460
S. N. Lahiri [Sieve Bootstrap with Variable-Length
Markov Chains for Stationary Categorical
Time Series]: Comment . . . . . . . . . 460--462
Dimitris N. Politis [Sieve Bootstrap with Variable-Length
Markov Chains for Stationary Categorical
Time Series]: Comment . . . . . . . . . 463--465
Peter Bhlmann [Sieve Bootstrap with Variable-Length
Markov Chains for Stationary Categorical
Time Series]: Rejoinder . . . . . . . . 466--471
Steven J. Novick and
Leonard A. Stefanski Corrected Score Estimation via Complex
Variable Simulation Extrapolation . . . 472--481
Alan H. Welsh and
Xihong Lin and
Raymond J. Carroll Marginal Longitudinal Nonparametric
Regression: Locality and Efficiency of
Spline and Kernel Methods . . . . . . . 482--493
Mark J. van der Laan and
Alan E. Hubbard and
James M. Robins Locally Efficient Estimation of a
Multivariate Survival Function in
Longitudinal Studies . . . . . . . . . . 494--507
Guenther Walther Detecting the Presence of Mixing with
Multiscale Maximum Likelihood . . . . . 508--513
T. Cai and
S. C. Cheng and
L. J. Wei Semiparametric Mixed-Effects Models for
Clustered Failure Time Data . . . . . . 514--522
Peter Hall and
Léopold Simar Estimating a Changepoint, Boundary, or
Frontier in the Presence of Observation
Error . . . . . . . . . . . . . . . . . 523--534
Randy R. Sitter and
Changbao Wu Efficient Estimation of Quadratic Finite
Population Functions in the Presence of
Auxiliary Information . . . . . . . . . 535--543
Jun Shao and
Hansheng Wang Sample Correlation Coefficients Based on
Survey Data Under Regression Imputation 544--552
José Casals and
Miguel Jerez and
Sonia Sotoca An Exact Multivariate Model-Based
Structural Decomposition . . . . . . . . 553--564
Hua Yun Chen Double-Semiparametric Method for Missing
Covariates in Cox Regression Models . . 565--576
Ross A. Maller and
Liuquan Sun and
Xian Zhou Estimating the Expected Total Number of
Events in a Process . . . . . . . . . . 577--589
Tilmann Gneiting Nonseparable, Stationary Covariance
Functions for Space--time Data . . . . . 590--600
Daniel Peña and
Julio Rodríguez A Powerful Portmanteau Test of Lack of
Fit for Time Series . . . . . . . . . . 601--610
Chris Fraley and
Adrian E. Raftery Model-Based Clustering, Discriminant
Analysis, and Density Estimation . . . . 611--631
Carol A. Gotway and
Linda J. Young Combining Incompatible Spatial Data . . 632--648
Anonymous Front Matter . . . . . . . . . . . . . . 649--649
Chris Olsen Book Review: \booktitle[untitled] . . . 650--650
Jyoti Zalkikar Book Review: \booktitle[untitled] . . . 650--651
Craig B. Borkowf Book Review: \booktitle[untitled] . . . 651--651
Edsel A. Pea Book Review: \booktitle[untitled] . . . 652--653
Christian Genest Book Review: \booktitle[untitled] . . . 653--654
Russell V. Lenth Book Review: \booktitle[untitled] . . . 654--654
Russell V. Lenth Book Review: \booktitle[untitled] . . . 654--655
Amos Golan Book Review: \booktitle[untitled] . . . 655--656
Katherine Bennett Ensor Book Review: \booktitle[untitled] . . . 656--657
T. J. Vogelsang Book Review: \booktitle[untitled] . . . 657--657
James R. Schott Book Review: \booktitle[untitled] . . . 657--658
David Ruppert Book Review: \booktitle[untitled] . . . 658--658
James Thompson Book Review: \booktitle[untitled] . . . 658--658
Raisa E. Feldman Book Review: \booktitle[untitled] . . . 658--659
Joseph Gani Book Review: \booktitle[untitled] . . . 659--659
Robert L. Strawderman Book Review: \booktitle[untitled] . . . 659--659
T. J. Vogelsang Book Review: \booktitle[untitled] . . . 659--659
Arthur Fries [Response to Joel L. Horowitz Article] 660--660
Joel L. Horowitz and
K. Katsouyanni Response to Letter of Arthur Fries . . . 660--660
Anonymous Corrections: Calibration Regression of
Censored Lifetime Medical Cost . . . . . 661--661
Anonymous Corrections: Comment on
``Semi-Parametric Nonlinear
Mixed-Effects Models and Their
Application'' . . . . . . . . . . . . . 661--661
Anonymous Corrections: Testing and Locating
Variance Changepoints with Applications
to Stock Prices . . . . . . . . . . . . 661--661
Anonymous Corrections . . . . . . . . . . . . . . 661
Anonymous Back Matter . . . . . . . . . . . . . . ??
Robert Barsky and
John Bound and
Kerwin Kofi Charles and
Joseph P. Lupton Accounting for the Black-White Wealth
Gap: a Nonparametric Approach . . . . . 663--673
Pablo Marshall and
Eric T. Bradlow A Unified Approach to Conjoint Analysis
Models . . . . . . . . . . . . . . . . . 674--682
Sandra J. McBride A Marked Point Process Model for the
Source Proximity Effect in the Indoor
Environment . . . . . . . . . . . . . . 683--691
Julia Kelsall and
Jonathan Wakefield Modeling Spatial Variation in Disease
Risk: a Geostatistical Approach . . . . 692--701
Andrea Saltelli and
Stefano Tarantola On the Relative Importance of Input
Factors in Mathematical Models: Safety
Assessment for Nuclear Waste Disposal 702--709
Gary Koop Comparing the Performance of Baseball
Players: a Multiple-Output Approach . . 710--720
Blossom H. Patterson and
C. Mitchell Dayton and
Barry I. Graubard Latent Class Analysis of Complex Sample
Survey Data: Application to Dietary Data 721--729
Alicia L. Carriquiry and
Sarah M. Nusser [Latent Class Analysis of Complex Sample
Survey Data: Application to Dietary
Data]: Comment . . . . . . . . . . . . . 729--731
Michael R. Elliott and
Mary D. Sammel [Latent Class Analysis of Complex Sample
Survey Data: Application to Dietary
Data]: Comment . . . . . . . . . . . . . 732--734
Marilyn M. Seastrom [Latent Class Analysis of Complex Sample
Survey Data: Application to Dietary
Data]: Comment . . . . . . . . . . . . . 735--736
Jeroen K. Vermunt [Latent Class Analysis of Complex Sample
Survey Data: Application to Dietary
Data]: Comment . . . . . . . . . . . . . 736--737
Blossom H. Patterson and
C. Mitchell Dayton and
Barry I. Graubard [Latent Class Analysis of Complex Sample
Survey Data: Application to Dietary
Data]: Rejoinder . . . . . . . . . . . . 738--741
Daniel Rabinowitz Adjusting for Population Heterogeneity
and Misspecified Haplotype Frequencies
When Testing Nonparametric Null
Hypotheses in Statistical Genetics . . . 742--751
Robert C. Elston [Adjusting for Population Heterogeneity
and Misspecified Haplotype Frequencies
When Testing Nonparametric Null
Hypotheses in Statistical Genetics]:
Comment . . . . . . . . . . . . . . . . 751--753
Norman Kaplan and
Richard Morris [Adjusting for Population Heterogeneity
and Misspecified Haplotype Frequencies
When Testing Nonparametric Null
Hypotheses in Statistical Genetics]:
Comment . . . . . . . . . . . . . . . . 753--754
Daniel J. Schaid [Adjusting for Population Heterogeneity
and Misspecified Haplotype Frequencies
When Testing Nonparametric Null
Hypotheses in Statistical Genetics]:
Comment . . . . . . . . . . . . . . . . 754--756
Daniel Rabinowitz [Adjusting for Population Heterogeneity
and Misspecified Haplotype Frequencies
When Testing Nonparametric Null
Hypotheses in Statistical Genetics]:
Rejoinder . . . . . . . . . . . . . . . 757--758
Ker-Chau Li and
Kerby Shedden Identification of Shared Components in
Large Ensembles of Time Series Using
Dimension Reduction . . . . . . . . . . 759--765
S. C. Kou and
Bradley Efron Smoothers and the $ C_p $, Generalized
Maximum Likelihood, and Extended
Exponential Criteria: a Geometric
Approach . . . . . . . . . . . . . . . . 766--782
Xuming He and
Feifang Hu Markov Chain Marginal Bootstrap . . . . 783--795
Subhash R. Lele and
Charles E. McCulloch Invariance, Identifiability, and
Morphometrics . . . . . . . . . . . . . 796--806
Faming Liang Dynamically Weighted Importance Sampling
in Monte Carlo Computation . . . . . . . 807--821
Joel L. Horowitz and
Vladimir G. Spokoiny An Adaptive, Rate-Optimal Test of
Linearity for Median Regression Models 822--835
Ronald W. Butler and
Marc S. Paolella Saddlepoint Approximation and Bootstrap
Inference for the Satterthwaite Class of
Ratios . . . . . . . . . . . . . . . . . 836--846
Lurdes Y. T. Inoue and
Giovanni Parmigiani Designing Follow-Up Times . . . . . . . 847--858
Mary C. Meyer and
Purushottam W. Laud Predictive Variable Selection in
Generalized Linear Models . . . . . . . 859--871
Victor Chernozhukov and
Han Hong Three-Step Censored Quantile Regression
and Extramarital Affairs . . . . . . . . 872--882
Han Hong and
Victor Chernozhukov Three-Step Censored Quantile Regression
and Extramarital Affairs . . . . . . . . 872
Hulin Wu and
Jin-Ting Zhang Local Polynomial Mixed-Effects Models
for Longitudinal Data . . . . . . . . . 883--897
J. Kunert and
J. Stufken Optimal Crossover Designs in a Model
With Self and Mixed Carryover Effects 898--906
H. V. Kulkarni and
R. N. Rattihalli Nonparametric Estimation of a Bivariate
Mean Residual Life Function . . . . . . 907--917
Anonymous Front Matter . . . . . . . . . . . . . . 918--918
Michael J. Schell Book Review: \booktitle[untitled] . . . 919--919
Robin H. Lock Book Review: \booktitle[untitled] . . . 919--920
Robin H. Lock Mathematics and Sports (Mathematical
World, Vol. 3) . . . . . . . . . . . . . 919
Michael J. Schell Curve Ball: Baseball, Statistics, and
the Role of Chance in the Game . . . . . 919
A. Alexandre Trindade Book Review: \booktitle[untitled] . . . 920--920
A. Alexandre Trindade Time-Series Forecasting . . . . . . . . 920
Timothy J. Vogelsang Book Review: \booktitle[untitled] . . . 921--921
Aris Spanos Book Review: \booktitle[untitled] . . . 921--923
Aris Spanos Probability, Econometrics and Truth: The
Methodology of Econometrics . . . . . . 921
Timothy J. Vogelsang Asymptotic Theory for Econometricians
(rev. ed.) . . . . . . . . . . . . . . . 921
F. Delbaen Book Review: \booktitle[untitled] . . . 923--923
F. Delbaen Probability and Finance: It's Only a
Game! . . . . . . . . . . . . . . . . . 923
Russell V. Lenth Book Review: \booktitle[untitled] . . . 924--924
Russell V. Lenth Book Review: \booktitle[untitled] . . . 924--924
David Goldsman Book Review: \booktitle[untitled] . . . 924--925
David Goldsman Introductory Statistics and Random
Phenomena: Uncertainty, Complexity and
Chaotic Behavior in Engineering and
Science . . . . . . . . . . . . . . . . 924
Russell V. Lenth Experimental Quality: a Strategic
Approach to Achieve and Improve Quality 924
Russell V. Lenth The Theory of the Design of Experiments 924
Uwe Jensen Book Review: \booktitle[untitled] . . . 925--925
Raisa E. Feldman Book Review: \booktitle[untitled] . . . 925--926
Raisa E. Feldman Limit Distributions for Sums of
Independent Random Vectors . . . . . . . 925
Uwe Jensen Probabilistic Risk Analysis: Foundations
and Methods . . . . . . . . . . . . . . 925
Neal Rogness Book Review: \booktitle[untitled] . . . 926--927
Neal Rogness Applying and Interpreting Statistics, a
Comprehensive Guide (second edition) . . 926
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 927--927
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 927--927
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 927--928
Sreenivasa Rao Jammalamadaka A Contingency Table Approach to
Nonparametric Testing . . . . . . . . . 927
Sreenivasa Rao Jammalamadaka An Invariant Approach to Statistical
Analysis of Shapes . . . . . . . . . . . 927
Sreenivasa Rao Jammalamadaka Scan Statistics . . . . . . . . . . . . 927
C. M. Anderson-Cook Book Review: \booktitle[untitled] . . . 928--928
Paul Embrechts Book Review: \booktitle[untitled] . . . 928--928
T. J. Vogelsang Book Review: \booktitle[untitled] . . . 928--928
Anonymous Correction: Length-Biased Sampling with
Right Censoring: An Unconditional
Approach . . . . . . . . . . . . . . . . 929--929
Anonymous Correction . . . . . . . . . . . . . . . 929
Anonymous Back Matter . . . . . . . . . . . . . . ??
Michael A. Newton Discovering Combinations of Genomic
Aberrations Associated With Cancer . . . 931--942
Cavan Reilly and
Timothy Schacker and
Ashley T. Haase and
Steve Wietgrefe and
David Krason The Clustering of Infected SIV Cells in
Lymphatic Tissue . . . . . . . . . . . . 943--954
Lang Wu A Joint Model for Nonlinear
Mixed-Effects Models With Censoring and
Covariates Measured With Error, With
Application to AIDS Studies . . . . . . 955--964
Robin Henderson and
Silvia Shimakura and
David Gorst Modeling Spatial Variation in Leukemia
Survival Data . . . . . . . . . . . . . 965--972
Richard A. Briesch and
Pradeep K. Chintagunta and
Rosa L. Matzkin Semiparametric Estimation of Brand
Choice Behavior . . . . . . . . . . . . 973--982
Ken B. Newman and
John Rice Modeling the Survival of Chinook Salmon
Smolts Outmigrating Through the Lower
Sacramento River System . . . . . . . . 983--993
Naisyin Wang and
Adrian E. Raftery Nearest-Neighbor Variance Estimation
(NNVE): Robust Covariance Estimation via
Nearest-Neighbor Cleaning . . . . . . . 994--1006
Christophe Croux and
Stefan van Aelst [Nearest-Neighbor Variance Estimation
(NNVE): Robust Covariance Estimation via
Nearest-Neighbor Cleaning]: Comment . . 1006--1009
Geoffrey J. McLachlan and
Karyn L. Hamaty [Nearest-Neighbor Variance Estimation
(NNVE): Robust Covariance Estimation via
Nearest-Neighbor Cleaning]: Comment . . 1009--1011
Ehsan S. Soofi and
Ali Dadpay [Nearest-Neighbor Variance Estimation
(NNVE): Robust Covariance Estimation via
Nearest-Neighbor Cleaning]: Comment . . 1012--1014
Douglas G. Simpson [Nearest-Neighbor Variance Estimation
(NNVE): Robust Covariance Estimation via
Nearest-Neighbor Cleaning]: Comment . . 1015--1015
Naisyin Wang and
Adrian E. Raftery [Nearest-Neighbor Variance Estimation
(NNVE): Robust Covariance Estimation via
Nearest-Neighbor Cleaning]: Rejoinder 1016--1019
Timothy Hanson and
Wesley O. Johnson Modeling Regression Error With a Mixture
of Polya Trees . . . . . . . . . . . . . 1020--1033
Qing Liu and
Michael A. Proschan and
Gordon W. Pledger A Unified Theory of Two-Stage Adaptive
Designs . . . . . . . . . . . . . . . . 1034--1041
Yan Yu and
David Ruppert Penalized Spline Estimation for
Partially Linear Single-Index Models . . 1042--1054
Peter J. Green and
Sylvia Richardson Hidden Markov Models and Disease Mapping 1055--1070
Grace Y. Yi and
Richard J. Cook Marginal Methods for Incomplete
Longitudinal Data Arising in Clusters 1071--1080
Mark A. van de Wiel Exact Distributions of Multiple
Comparisons Rank Statistics . . . . . . 1081--1089
Peter D. Hoff and
Adrian E. Raftery and
Mark S. Handcock Latent Space Approaches to Social
Network Analysis . . . . . . . . . . . . 1090--1098
Tianxi Cai and
Margaret Sullivan Pepe Semiparametric Receiver Operating
Characteristic Analysis to Evaluate
Biomarkers for Disease . . . . . . . . . 1099--1107
Ron Mittelhammer and
George Judge and
Marco van Akkeren and
N. Scott Cardell Coordinate Based Empirical
Likelihood-Like Estimation in
Ill-Conditioned Inverse Problems . . . . 1108--1121
Xiaotong Shen and
Hsin-Cheng Huang and
Noel Cressie Nonparametric Hypothesis Testing for a
Spatial Signal . . . . . . . . . . . . . 1122--1140
Michael Smith and
Robert Kohn Parsimonious Covariance Matrix
Estimation for Longitudinal Data . . . . 1141--1153
Hemant Ishwaran and
Glen Takahara Independent and Identically Distributed
Monte Carlo Algorithms for
Semiparametric Linear Mixed Models . . . 1154--1166
James H. Stock and
Mark W. Watson Forecasting Using Principal Components
From a Large Number of Predictors . . . 1167--1179
Omer Ozturk Rank Regression in Ranked-Set Samples 1180--1191
Francesco Bartolucci and
Antonio Forcina Extended RC Association Models Allowing
for Order Restrictions and Marginal
Modeling . . . . . . . . . . . . . . . . 1192--1199
Anonymous Front Matter . . . . . . . . . . . . . . 1200--1200
Carolyn Pillers Dobler Book Review: \booktitle[untitled] . . . 1201--1201
Richard J. Cleary Book Review: \booktitle[untitled] . . . 1201--1202
Richard J. Cleary The Science of Conjecture: Evidence and
Probability Before Pascal . . . . . . . 1201
Carolyn Pillers Dobler Statisticians of the Centuries . . . . . 1201
B. D. McCullough Book Review: \booktitle[untitled] . . . 1202--1203
B. D. McCullough Book Review: \booktitleMathematical
Statistics With Mathematica, by Colin
Rose and Murray Smith. New York:
Springer-Verlag, 2002. ISBN
0-387-95234-9. xiii + 481 pp. (+2 CDs).
\$79.97} . . . . . . . . . . . . . . . . 1202--1203
Yonggang Zhao and
Xiaotong Shen Book Review: \booktitle[untitled] . . . 1203--1204
Yonggang Zhao and
Xiaotong Shen Empirical Likelihood . . . . . . . . . . 1203
Paul Embrechts Book Review: \booktitle[untitled] . . . 1204--1204
John Kolassa Book Review: \booktitle[untitled] . . . 1204--1205
John Kolassa Conditional Specification of Statistical
Models . . . . . . . . . . . . . . . . . 1204
Ma\lgorzata Roos Book Review: \booktitle[untitled] . . . 1205--1205
Ma\lgorzata Roos Runs and Scans With Applications . . . . 1205
Sreenivasa Rao Jammalamadaka Book Review: \booktitle[untitled] . . . 1206--1206
Kenneth Koehler Book Review: \booktitle[untitled] . . . 1206--1207
Sreenivasa Rao Jammalamadaka Matrix Algebra for Applied Economics,
and Matrix Algebra Exercises and
Solutions . . . . . . . . . . . . . . . 1206
Kenneth Koehler Analysis of Messy Data, Vol III:
Analysis of Covariance . . . . . . . . . 1206
Emanuel Parzen Book Review: \booktitle[untitled] . . . 1207--1207
Peter C. Wollan Book Review: \booktitle[untitled] . . . 1207--1207
James B. Elsner Book Review: \booktitle[untitled] . . . 1207--1208
James B. Elsner Analysis of Time Series Structure: SSA
and Related Techniques . . . . . . . . . 1207
Emanuel Parzen Foundations of Time Series Analysis and
Prediction Theory . . . . . . . . . . . 1207
Peter C. Wollan Observational Studies (second edition) 1207
Valentina Corradi Book Review: \booktitle[untitled] . . . 1208--1209
Valentina Corradi Asymptotic Theory of Statistical
Inference for Time Series . . . . . . . 1208
Frederi Viens Book Review: \booktitle[untitled] . . . 1209--1210
Frederi Viens Stochastic Processes: From Physics to
Finance . . . . . . . . . . . . . . . . 1209
Alexander J. McNeil Book Review: \booktitle[untitled] . . . 1210--1211
Alexander J. McNeil The Laplace Distribution and
Generalizations: a Revisit With
Applications to Communications,
Economics, Engineering, and Finance . . 1210
Angelos Dassios Book Review: \booktitle[untitled] . . . 1211--1212
Angelos Dassios Ruin Probabilities . . . . . . . . . . . 1211
Nicole Buerle Book Review: \booktitle[untitled] . . . 1212--1213
Nicole Bauerle Introduction to Stochastic Networks . . 1212
Lawrence A. Shepp Book Review: \booktitle[untitled] . . . 1213--1213
Kimberly Swygert Book Review: \booktitle[untitled] . . . 1213--1214
Lawrence A. Shepp Probability Essentials . . . . . . . . . 1213
Kimberly Swygert Practical Considerations in
Computer-Based Testing . . . . . . . . . 1213
Carrie Grimes Book Review: \booktitle[untitled] . . . 1214--1215
Carrie Grimes Independent Component Analysis:
Principles and Practice . . . . . . . . 1214
Mario Peruggia Book Review: \booktitle[untitled] . . . 1215--1215
Christine M. Anderson-Cook Book Review: \booktitle[untitled] . . . 1216--1216
Richard J. Cleary Book Review: \booktitle[untitled] . . . 1216--1216
Alan F. Karr Book Review: \booktitle[untitled] . . . 1216--1216
Alan F. Karr Book Review: \booktitle[untitled] . . . 1216--1216
Robert Lund Book Review: \booktitle[untitled] . . . 1216--1216
Alan F. Karr Book Review: \booktitle[untitled] . . . 1216--1217
Paul Embrechts Book Review: \booktitle[untitled] . . . 1217--1217
Russell V. Lenth Book Review: \booktitle[untitled] . . . 1217--1217
Mario Peruggia Book Review: \booktitle[untitled] . . . 1217--1217
Yanqing Sun Book Review: \booktitle[untitled] . . . 1217--1217
Anonymous Correction: Effect of Insurance on
Mortality in an HIV-Positive Population
in Care . . . . . . . . . . . . . . . . 1218--1218
Anonymous Correction . . . . . . . . . . . . . . . 1218
Anonymous Volume Information . . . . . . . . . . . 1219--1228
Anonymous Back Matter . . . . . . . . . . . . . . ??
Miron L. Straf Statistics: The Next Generation . . . . 1--6
Mary Beth Landrum and
Sharon-Lise T. Normand and
Robert A. Rosenheck Selection of Related Multivariate Means:
Monitoring Psychiatric Care in the
Department of Veterans Affairs . . . . . 7--16
David A. Harville The Selection or Seeding of College
Basketball or Football Teams for
Postseason Competition . . . . . . . . . 17--27
David B. Dunson and
Bernardo Colombo Bayesian Modeling of Markers of
Day-Specific Fertility . . . . . . . . . 28--37
M. Elizabeth Halloran and
Marie Pierre Préziosi and
Haitao Chu Estimating Vaccine Efficacy From
Secondary Attack Rates . . . . . . . . . 38--46
Sander Greenland The Impact of Prior Distributions for
Uncontrolled Confounding and Response
Bias: a Case Study of the Relation of
Wire Codes and Magnetic Fields to
Childhood Leukemia . . . . . . . . . . . 47--54
Mayetri Gupta and
Jun S. Liu Discovery of Conserved Sequence Patterns
Using a Stochastic Dictionary Model . . 55--66
Marc G. Genton and
Elvezio Ronchetti Robust Indirect Inference . . . . . . . 67--76
Sarat C. Dass and
Vijayan N. Nair Edge Detection, Spatial Smoothing, and
Image Reconstruction With Partially
Observed Multivariate Data . . . . . . . 77--89
Esa Ollila and
Hannu Oja and
Visa Koivunen Estimates of Regression Coefficients
Based on Lift Rank Covariance Matrix . . 90--98
Ker-Chau Li and
Yve Aragon and
Kerby Shedden and
C. Thomas Agnan Dimension Reduction for Multivariate
Response Data . . . . . . . . . . . . . 99--109
Chuanhai Liu Alternating Subspace-Spanning Resampling
to Accelerate Markov Chain Monte Carlo
Simulation . . . . . . . . . . . . . . . 110--117
Jianqing Fan and
Chunming Zhang A Reexamination of Diffusion Estimators
With Applications to Financial Model
Validation . . . . . . . . . . . . . . . 118--134
Jan G. De Gooijer and
Dawit Zerom On Additive Conditional Quantiles With
High Dimensional Covariates . . . . . . 135--146
Scott Gilbert Distribution of Rankings for Groups
Exhibiting Heteroscedasticity and
Correlation . . . . . . . . . . . . . . 147--157
Nilanjan Chatterjee and
Yi-Hau Chen and
Norman E. Breslow A Pseudoscore Estimator for Regression
Problems With Two-Phase Sampling . . . . 158--168
Jeffrey S. Rosenthal Asymptotic Variance and Convergence
Rates of Nearly-Periodic Markov Chain
Monte Carlo Algorithms . . . . . . . . . 169--177
Zbigniew Szkutnik Doubly Smoothed EM Algorithm for
Statistical Inverse Problems . . . . . . 178--190
Yi Li and
Xihong Lin Functional Inference in Frailty
Measurement Error Models for Clustered
Survival Data Using the SIMEX Approach 191--203
Joseph G. Ibrahim and
Ming-Hui Chen and
Debajyoti Sinha On Optimality Properties of the Power
Prior . . . . . . . . . . . . . . . . . 204--213
Michael A. Benjamin and
Robert A. Rigby and
D. Mikis Stasinopoulos Generalized Autoregressive Moving
Average Models . . . . . . . . . . . . . 214--223
Sanjib Basu and
Siddhartha Chib Marginal Likelihood and Bayes Factors
for Dirichlet Process Mixture Models . . 224--235
Jung-Ying Tzeng and
William Byerley and
B. Devlin and
Kathryn Roeder and
Larry Wasserman Outlier Detection and False Discovery
Rates for Whole-Genome DNA Matching . . 236--246
Wilfrid S. Kendall Book Review: \booktitleStatistics of the
Galaxy Distribution, by Vicent J.
Martínez; Enn Saar . . . . . . . . . . . 248--248
Melvin L. Moeschberger Book Review: \booktitleStatistical
Methods for the Analysis of Repeated
Measurements, by Charles S. Davis . . . 248--249
Wilfrid S. Kendall Statistics of the Galaxy Distribution 248
Melvin L. Moeschberger Statistical Methods for the Analysis of
Repeated Measurements . . . . . . . . . 248
Christine M. Anderson-Cook Book Review: \booktitleConcise Handbook
of Experimental Methods for the
Behavioral and Biological Sciences, by
Jay E. Gould . . . . . . . . . . . . . . 249--249
William I. Notz Book Review: \booktitleTopics in Optimal
Design, by Erkki P. Liski; Nripes
Mandal; Kirti R. Shah; Bikas Siniha . . 249--250
Christine M. Anderson-Cook Concise Handbook of Experimental Methods
for the Behavioral and Biological
Sciences . . . . . . . . . . . . . . . . 249
William I. Notz Topics in Optimal Design . . . . . . . . 249
Brian J. Eastwood Book Review: \booktitleApplied
Statistics in the Pharmaceutical
Industry with Case Studies Using S-PLUS,
by Steven P. Millard; Andreas Krause . . 250--250
Sue Duval Book Review: \booktitleBiostatistical
Methods in Epidemiology, by Stephen C.
Newman . . . . . . . . . . . . . . . . . 251--251
Minge Xie Book Review: \booktitleDesign and
Analysis of Bioavailability and
Bioequivalence Studies, by Shein-Chung
Chow; Jen-Pei Liu . . . . . . . . . . . 251--251
Theo Gasser Book Review: \booktitleNonlinear Models
in Medical Statistics, by J. K. Lindsey 251--252
Sue Duval Biostatistical Methods in Epidemiology 251
Theo Gasser Nonlinear Models in Medical Statistics 251
Minge Xie Design and Analysis of Bioavailability
and Bioequivalence Studies (second
edition, revised and expanded) . . . . . 251
Ashish P. Sanil Book Review: \booktitlePrinciples of
Data Mining, by David Hand; Heikki
Mannila; Padhraic Smyth . . . . . . . . 252--253
Ashish P. Sanil Principles of Data Mining . . . . . . . 252
Vincent J. Carey Book Review: \booktitleGraphical Models:
Methods for Data Analysis and Mining, by
Christian Borgelt; Rudolf Kruse . . . . 253--254
Vincent J. Carey Graphical Models: Methods for Data
Analysis and Mining . . . . . . . . . . 253
Richard J. Cleary Book Review: \booktitleConducting Meta
Analysis Using SAS, by Winfred Arthur,
Jr.; Winston Bennett, Jr.; Allen I.
Huffcutt . . . . . . . . . . . . . . . . 254--254
Walter Gander Book Review: \booktitleFrom Elementary
Probability to Stochastic Differential
Equations with MAPLE, by Sasha
Cyganowski; Peter Kloeden; Jerzy Ombach 254--255
Richard J. Cleary Conducting Meta Analysis Using SAS . . . 254
Walter Gander From Elementary Probability to
Stochastic Differential Equations With
MAPLE . . . . . . . . . . . . . . . . . 254
S. Bora\ugan Aruoba and
Sean D. Campbell Book Review: \booktitleTime Series
Analysis by State-Space Methods, by J.
Durbin; S. J. Koopman . . . . . . . . . 255--256
S. Bora an Aruoba and
Sean D. Campbell Time Series Analysis by State-Space
Methods . . . . . . . . . . . . . . . . 255
Mary Kathryn Cowles Book Review: \booktitleBayesian
Statistical Modelling, by Peter Congdon 256--257
Mary Kathryn Cowles Bayesian Statistical Modelling . . . . . 256
Sunil J. Rao Book Review: \booktitleRegression
Modeling Strategies: With Applications
to Linear Models, Logistic Regression,
and Survival Analysis, by Frank E.
Harrell, Jr. . . . . . . . . . . . . . . 257--258
Sunil J. Rao Regression Modeling Strategies: With
Applications to Linear Models, Logistic
Regression, and Survival Analysis . . . 257
Daniel B. Hall Book Review: \booktitleAdvanced Linear
Modeling, by Ronald Christensen . . . . 258--258
Sreenivasa Rao Jammalamadaka Book Review: \booktitlePermutation
Methods: A Distance Function Approach,
by Paul W. Mielke, Jr.; Kenneth J. Berry 258--259
Daniel B. Hall Advanced Linear Modeling (second
edition) . . . . . . . . . . . . . . . . 258
Sreenivasa Rao Jammalamadaka Permutation Methods: a Distance Function
Approach . . . . . . . . . . . . . . . . 258
Daniel R. Jeske Book Review: \booktitleStatistical
Inference: An Integrated Approach, by
Helio S. Migon; Dani Gamerman . . . . . 259--259
Mario Peruggia and
Paul Embrechts and
Eric P. Smith and
Sreenivasa Rao Jammalamadaka Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 259--260
Daniel R. Jeske Statistical Inference: An Integrated
Approach . . . . . . . . . . . . . . . . 259
Willard C. Losinger and
Carmen Fernández and
Gary Koop and
Mark F. J. Steel Multiple-Output Production with
Undesirable Outputs: An Application to
Nitrogen Surplus in Agriculture (with
Response) . . . . . . . . . . . . . . . 261--261
Anonymous Letter to the Editor . . . . . . . . . . 261
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Dan J. Spitzner and
J. S. Marron and
G. K. Essick Mixed-Model Functional ANOVA for
Studying Human Tactile Perception . . . 263--272
Giovanni Parmigiani and
Heidi W. Ashih and
Gregory P. Samsa and
Pamela W. Duncan and
Sue Min Lai and
David B. Matchar Cross-Calibration of Stroke Disability
Measures: Bayesian Analysis of
Longitudinal Ordinal Categorical Data
Using Negative Dependence . . . . . . . 273--281
Todd Graves and
C. Shane Reese and
Mark Fitzgerald Hierarchical Models for Permutations:
Analysis of Auto Racing Results . . . . 282--291
Bruce E. Hansen Recounts From Undervotes: Evidence From
the 2000 Presidential Election . . . . . 292--298
John Barnard and
Constantine E. Frangakis and
Jennifer L. Hill and
Donald B. Rubin Principal Stratification Approach to
Broken Randomized Experiments: a Case
Study of School Choice Vouchers in New
York City . . . . . . . . . . . . . . . 299--311
Bengt Muthén and
Booil Jo and
C. Hendricks Brown Principal Stratification Approach to
Broken Randomized Experiments: a Case
Study of School Choice Vouchers in New
York City [with Comment] . . . . . . . . 311--314
Alan B. Krueger and
Pei Zhu Principal Stratification Approach to
Broken Randomized Experiments: a Case
Study of School Choice Vouchers in New
York City [with Comment] . . . . . . . . 314--318
Richard A. Berk and
Hongquan Xu Principal Stratification Approach to
Broken Randomized Experiments: a Case
Study of School Choice Vouchers in New
York City [with Comment] . . . . . . . . 318--320
John Barnard and
Constantine E. Frangakis and
Jennifer L. Hill and
Donald B. Rubin Principal Stratification Approach to
Broken Randomized Experiments: a Case
Study of School Choice Vouchers in New
York City [with Rejoinder] . . . . . . . 320--323
Peter Bühlmann and
Bin Yu Boosting With the $ L_2 $ Loss:
Regression and Classification . . . . . 324--339
R. Dennis Cook and
C. Messan Setodji A Model-Free Test for Reduced Rank in
Multivariate Regression . . . . . . . . 340--351
C. C. Holmes and
B. K. Mallick Generalized Nonlinear Modeling With
Multivariate Free-Knot Regression
Splines . . . . . . . . . . . . . . . . 352--368
Heping Zhang and
Chang-Yung Yu and
Hongtu Zhu and
Jian Shi Identification of Linear Directions in
Multivariate Adaptive Spline Models . . 369--376
Jonathan R. Stroud and
Peter Müller and
Nicholas G. Polson Nonlinear State-Space Models With
State-Dependent Variances . . . . . . . 377--386
Alan E. Gelfand and
Hyon-Jung Kim and
C. F. Sirmans and
Sudipto Banerjee Spatial Modeling With Spatially Varying
Coefficient Processes . . . . . . . . . 387--396
Gareth M. James and
Catherine A. Sugar Clustering for Sparsely Sampled
Functional Data . . . . . . . . . . . . 397--408
Lori E. Dodd and
Margaret Sullivan Pepe Semiparametric Regression for the Area
Under the Receiver Operating
Characteristic Curve . . . . . . . . . . 409--417
Yu Shen and
Jianwen Cai Sample Size Reestimation for Clinical
Trials With Censored Survival Data . . . 418--426
Marc A. Suchard and
Robert E. Weiss and
Karin S. Dorman and
Janet S. Sinsheimer Inferring Spatial Phylogenetic Variation
Along Nucleotide Sequences: a Multiple
Changepoint Model . . . . . . . . . . . 427--437
Hemant Ishwaran and
J. Sunil Rao Detecting Differentially Expressed Genes
in Microarrays Using Bayesian Model
Selection . . . . . . . . . . . . . . . 438--455
Abba M. Krieger and
Moshe Pollak and
Benjamin Yakir Surveillance of a Simple Linear
Regression . . . . . . . . . . . . . . . 456--469
L. Billard and
E. Diday From the Statistics of Data to the
Statistics of Knowledge: Symbolic Data
Analysis . . . . . . . . . . . . . . . . 470--487
Christopher K. I. Williams Book Review: \booktitleLearning with
Kernels: Support Vector Machines,
Regularization, Optimization, and
Beyond, by Bernhard Schölkopf; Alexander
Smola; \booktitleLearning Kernel
Classifiers, by Ralf Herbrich . . . . . 489--490
Christopher K. I. Williams Learning Kernel Classifiers . . . . . . 489
Christopher K. I. Williams Learning With Kernels: Support Vector
Machines, Regularization, Optimization,
and Beyond . . . . . . . . . . . . . . . 489
Paul Schliekelman Book Review: \booktitleStatistical
Methods in Bioinformatics: An
Introduction, by Warren J. Ewens;
Gregory R. Grant . . . . . . . . . . . . 490--491
Paul Schliekelman Statistical Methods in Bioinformatics:
An Introduction . . . . . . . . . . . . 490
Deborah Nolan Book Review: \booktitleStatistics in the
21st Century, by Adrian E. Raftery;
Martin A. Tanner; Martin T. Wells . . . 491--491
Deborah Nolan Statistics in the 21st Century . . . . . 491
Christine M. Anderson-Cook Book Review: \booktitleInterpreting
Quantitative Data, by David Byrne . . . 492--492
Harold Sackrowitz Book Review: \booktitleStatistical
Decision Theory, by Simon French; David
Rios Insua . . . . . . . . . . . . . . . 492--492
Russell V. Lenth Book Review: \booktitleBinomial
Distribution Handbook for Scientists and
Engineers, by Elart von Collanist; Klaus
Drager . . . . . . . . . . . . . . . . . 492--493
Christine M. Anderson-Cook Interpreting Quantitative Data . . . . . 492
Russell V. Lenth Binomial Distribution Handbook for
Scientists and Engineers . . . . . . . . 492
Harold Sackrowitz Statistical Decision Theory . . . . . . 492
Alan F. Karr Book Review: \booktitleMaximum Penalized
Likelihood Estimation, Vol. I: Density
Estimation, by P. P. B. Eggermont; V. N.
LaRiccia . . . . . . . . . . . . . . . . 493--493
Robert Taylor Book Review: \booktitleA User's Guide to
Measure-Theoretic Probability, by David
Pollard . . . . . . . . . . . . . . . . 493--494
Alan F. Karr Maximum Penalized Likelihood Estimation,
Vol. I: Density Estimation . . . . . . . 493
Robert Taylor A User's Guide to Measure-Theoretic
Probability . . . . . . . . . . . . . . 493
Thorsten Rheinländer Book Review: \booktitleRisk Management:
Value at Risk and Beyond, by M. A. H.
Dempster . . . . . . . . . . . . . . . . 494--494
Lorens A. Imhof Book Review: \booktitleMatrix Algebra
and Its Applications to Statistics and
Econometrics, by C. Radhakrishna Rao; M.
Bhaskara Rao . . . . . . . . . . . . . . 494--495
Lorens A. Imhof Matrix Algebra and Its Applications to
Statistics and Econometrics . . . . . . 494
Thorsten Rheinländer Risk Management: Value at Risk and
Beyond . . . . . . . . . . . . . . . . . 494
Andrew L. Rukhin Book Review: \booktitleMatrix Variate
Distributions, by A. K. Gupta; D. K.
Nagar . . . . . . . . . . . . . . . . . 495--496
Andrew L. Rukhin Matrix Variate Distributions . . . . . . 495
Timothy J. Robinson Book Review: \booktitleMultilevel
Analysis: Techniques and Applications,
by Joop Hox . . . . . . . . . . . . . . 496--496
Persi Diaconis Book Review: \booktitleSequential Monte
Carlo Methods in Practice, by Arnaud
Doucet; Nando de Freitas; Neil Gordon 496--497
Persi Diaconis Sequential Monte Carlo Methods in
Practice . . . . . . . . . . . . . . . . 496
Timothy J. Robinson Multilevel Analysis: Techniques and
Applications . . . . . . . . . . . . . . 496
Mervyn Marasinghe Book Review: \booktitleNumerical Methods
of Statistics, by John F. Monahan . . . 497--498
Mervyn Marasinghe Numerical Methods of Statistics . . . . 497
Mario Peruggia and
Christine M. Anderson-Cook and
Mario Peruggia and
Alan F. Karr and
Russell V. Lenth Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 499--500
Anonymous Corrections: The Distribution of
Realized Exchange Rate Volatility . . . 501--501
Anonymous Corrections: Letter to the Editor . . . 501--501
Anonymous Corrections . . . . . . . . . . . . . . 501
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Jennifer A. Hoeting and
Richard L. Tweedie and
Christine S. Olver Transform Estimation of Parameters for
Stage-Frequency Data . . . . . . . . . . 503--514
Peter E. Jupp and
Peter T. Kim and
Ja-Yong Koo and
Paul Wiegert The Intrinsic Distribution and Selection
Bias of Long-Period Cometary Orbits . . 515--521
J. M. Loh and
M. L. Stein and
J. M. Quashnock Estimating the Large-Scale Structure of
the Universe Using Quasi-Stellar Object
Carbon IV Absorbers . . . . . . . . . . 522--532
David F. Layton and
Richard A. Levine How Much Does the Far Future Matter? A
Hierarchical Bayesian Analysis of the
Public's Willingness to Mitigate
Ecological Impacts of Climate Change . . 533--544
Dan Black and
Seth Sanders and
Lowell Taylor Measurement of Higher Education in the
Census and Current Population Survey . . 545--554
David B. Dunson Dynamic Latent Trait Models for
Multidimensional Longitudinal Data . . . 555--563
Peter Boatwright and
Sharad Borle and
Joseph B. Kadane A Model of the Joint Distribution of
Purchase Quantity and Timing . . . . . . 564--572
Jeffrey S. Morris and
Marina Vannucci and
Philip J. Brown and
Raymond J. Carroll Wavelet-Based Nonparametric Modeling of
Hierarchical Functions in Colon
Carcinogenesis . . . . . . . . . . . . . 573--583
Merlise Clyde and
Edward I. George Wavelet-Based Nonparametric Modeling of
Hierarchical Functions in Colon
Carcinogenesis [with Comment] . . . . . 584--585
Merlise Clyde and
Edward I. George Comment . . . . . . . . . . . . . . . . 584
Eric D. Kolaczyk Wavelet-Based Nonparametric Modeling of
Hierarchical Functions in Colon
Carcinogenesis [with Comment] . . . . . 585--588
Eric D. Kolaczyk Comment . . . . . . . . . . . . . . . . 585
Colin O. Wu and
Jianhua Z. Huang Wavelet-Based Nonparametric Modeling of
Hierarchical Functions in Colon
Carcinogenesis [with Comment] . . . . . 588--591
Colin O. Wu and
Jianhua Z. Huang Comment . . . . . . . . . . . . . . . . 588
Jeffrey S. Morris and
Marina Vannucci and
Philip J. Brown and
Raymond J. Carroll Wavelet-Based Nonparametric Modeling of
Hierarchical Functions in Colon
Carcinogenesis [with Rejoinder] . . . . 591--597
Jeffrey S. Morris and
Marina Vannucci and
Philip J. Brown and
Raymond J. Carroll Rejoinder . . . . . . . . . . . . . . . 591
Peter Hall and
Hans-Georg Müller Order-Preserving Nonparametric
Regression, With Applications to
Conditional Distribution and Quantile
Function Estimation . . . . . . . . . . 598--608
Chunming Zhang Calibrating the Degrees of Freedom for
Automatic Data Smoothing and Effective
Curve Checking . . . . . . . . . . . . . 609--628
Willa W. Chen and
Clifford M. Hurvich Semiparametric Estimation of
Multivariate Fractional Cointegration 629--642
Wensheng Guo and
Ming Dai and
Hernando C. Ombao and
Rainer von Sachs Smoothing Spline ANOVA for
Time-Dependent Spectral Analysis . . . . 643--652
Marc A. Suchard and
Robert E. Weiss and
Janet S. Sinsheimer and
Karin S. Dorman and
Megha Patel and
Edward R. B. McCabe Evolutionary Similarity Among Genes . . 653--662
Yijian Huang and
Mei-Cheng Wang Frequency of Recurrent Events at Failure
Time: Modeling and Inference . . . . . . 663--670
Feifang Hu and
William F. Rosenberger Optimality, Variability, Power:
Evaluating Response-Adaptive
Randomization Procedures for Treatment
Comparisons . . . . . . . . . . . . . . 671--678
Holger Dette and
Stefanie Biedermann Robust and Efficient Designs for the
Michaelis--Menten Model . . . . . . . . 679--686
Pedro Puig Characterizing Additively Closed
Discrete Models by a Property of Their
Maximum Likelihood Estimators, With an
Application to Generalized Hermite
Distributions . . . . . . . . . . . . . 687--692
Moshe Shaked and
Alfonso Suarez-Llorens On the Comparison of Reliability
Experiments Based on the Convolution
Order . . . . . . . . . . . . . . . . . 693--702
Kristin N. Javaras and
David A. van Dyk Multiple Imputation for Incomplete Data
with Semicontinuous Variables . . . . . 703--715
Junyuan Wang and
Wayne A. Fuller The Mean Squared Error of Small Area
Predictors Constructed with Estimated
Area Variances . . . . . . . . . . . . . 716--723
Xiaotong Shen and
George C. Tseng and
Xuegong Zhang and
Wing Hung Wong On $ \psi $-Learning . . . . . . . . . . 724--734
Glen Meeden A Bayesian Solution for a Statistical
Auditing Problem . . . . . . . . . . . . 735--740
Thomas Michael Dubinin and
Stephen Bruce Vardeman Likelihood-Based Inference in Some
Continuous Exponential Families with
Unknown Threshold Parameters . . . . . . 741--749
Catherine A. Sugar and
Gareth M. James Finding the Number of Clusters in a
Dataset: An Information-Theoretic
Approach . . . . . . . . . . . . . . . . 750--763
Karen Kafadar Book Review: \booktitleTesting for
Normality, by Henry C. Thode, Jr. . . . 765--765
Dale Zimmerman Book Review: \booktitleGeographically
Weighted Regression, by A. Stewart
Fotheringham; Chris Brunsdon; Martin
Charlton . . . . . . . . . . . . . . . . 765--766
J. P. Morgan Book Review: \booktitleA First Course in
Linear Model Theory, by Nalini
Ravishanker; Dipak K. Dey . . . . . . . 766--767
Marie Davidian Book Review: \booktitleHierarchical
Linear Models: Applications and Data
Analysis Methods (second edition), by
Stephen W. Raudenbush; Anthony S. Bryk 767--768
Montserrat Fuentes Book Review: \booktitlePredictions in
Time Series Using Regression Models, by
Frantisek Stulajter . . . . . . . . . . 768--769
Paul Embrechts Book Review: \booktitleMartingales and
Markov Chains: Solved Exercises and
Elements of Theory, by Paolo Baldi;
Laurent Mazliak; Pierre Priouret . . . . 769--769
Badi H. Baltagi Book Review: \booktitlePanel Data
Econometrics: Method-of-Moments and
Limited Dependent Variables, by
Myoung-Jae Lee . . . . . . . . . . . . . 769--770
Hans-Jakob Lüthi Book Review: \booktitleAlgorithms for
Worst-Case Design and Applications to
Risk Management, by Berç Rustem;
Melendres Howe . . . . . . . . . . . . . 770--770
Christine M. Anderson-Cook Book Review: \booktitleStatistical
Analysis of Designed Experiments (second
edition), by Helge Toutenburg . . . . . 770--771
N. Rao Chaganty Book Review: \booktitleSubjective
Probability Models for Lifetimes, by
Fabio Spizzichino . . . . . . . . . . . 771--771
Rebecca A. Betensky Book Review: \booktitleAnalysis of
Failure and Survival Data, by Peter J.
Smith . . . . . . . . . . . . . . . . . 771--772
Herbert K. H. Lee Book Review: \booktitleElements of
Computational Statistics, by James E.
Gentle . . . . . . . . . . . . . . . . . 772--773
William R. Clarke Book Review: \booktitleLongitudinal Data
and SAS: A Programmer's Guide, by Ron
Cody . . . . . . . . . . . . . . . . . . 773--773
Jeffrey D. Dawson Book Review: \booktitleAnalyzing Medical
Data Using S-PLUS, by Brian Everitt;
Sophia Rabe-Hesketh . . . . . . . . . . 773--774
Jane Lindsey Book Review: \booktitleClinical Trials,
by Lelia Duley; Barbara Farrell . . . . 774--774
Brian Habing Book Review: \booktitleIntroduction to
Nonparametric Item Response Theory, by
Klaas Sijtsma; Ivo W. Molenaar . . . . . 774--775
Christopher Winship Book Review: \booktitleLogit and Probit:
Ordered and Multinomial Models, by Vani
K. Borooah . . . . . . . . . . . . . . . 775--776
Rick Chappell Book Review: \booktitleMultivariate
Statistical Modelling Based on
Generalized Linear Models (2nd ed.), by
Ludwig Fahrmeir; Gerhard Tutz . . . . . 776--777
Robert Lund and
Christine M. Anderson-Cook and
Mario Peruggia and
Paul Embrechts Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 777--778
Anonymous Corrections: Cox Regression with
Accurate Covariates Unascertainable: a
Nonparametric-Correction Approach . . . 779--779
Anonymous Corrections: Objective Bayesian Analysis
of Spatially Correlated Dara . . . . . . 779--779
Anonymous Corrections . . . . . . . . . . . . . . 779
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Ron Brookmeyer and
Natalie Blades Statistical Models and Bioterrorism:
Application to the U.S. Anthrax Outbreak 781--788
Frederic Paik Schoenberg Multidimensional Residual Analysis of
Point Process Models for Earthquake
Occurrences . . . . . . . . . . . . . . 789--795
Craig J. Johns and
Douglas Nychka and
Timothy G. F. Kittel and
Chris Daly Infilling Sparse Records of Spatial
Fields . . . . . . . . . . . . . . . . . 796--806
Bonnie Ghosh-Dastidar and
Joseph L. Schafer Multiple Edit/Multiple Imputation for
Multivariate Continuous Data . . . . . . 807--817
Nathaniel Schenker Assessing Variability Due to Race
Bridging: Application to Census Counts
and Vital Rates for the Year 2000 . . . 818--828
Anthony Garratt and
Kevin Lee and
M. Hashem Pesaran and
Yongcheol Shin Forecast Uncertainties in Macroeconomic
Modeling: An Application to the U.K.
Economy . . . . . . . . . . . . . . . . 829--838
Remy Cottet and
Michael Smith Bayesian Modeling and Forecasting of
Intraday Electricity Load . . . . . . . 839--849
Thaddeus Tarpey and
Eva Petkova and
R. Todd Ogden Profiling Placebo Responders by
Self-Consistent Partitioning of
Functional Data . . . . . . . . . . . . 850--858
A. S. Foulkes and
V. De Gruttola Characterizing the Progression of Viral
Mutations Over Time . . . . . . . . . . 859--867
Cavan Reilly and
Changchun Wang and
Mark Rutherford A Method for Normalizing Microarrays
Using Genes That Are Not Differentially
Expressed . . . . . . . . . . . . . . . 868--878
Nils Lid Hjort and
Gerda Claeskens Frequentist Model Average Estimators . . 879--899
Gerda Claeskens and
Nils Lid Hjort and
Xiaotong Shen and
Daniel P. Dougherty and
Wesley O. Johnson and
Hemant Ishwaran and
J. Sunil Rao and
R. Dennis Cook and
Lexin Li and
Chih-Ling Tsai and
Adrian E. Raftery and
Yingye Zheng and
Nils Lid Hjort and
Gerda Claeskens The Focused Information Criterion . . . 900--916
Xiaotong Shen and
Daniel P. Dougherty Discussion: Inference and
Interpretability Considerations in
Frequentist Model Averaging and
Selection . . . . . . . . . . . . . . . 917--919
Wesley O. Johnson Discussion: Inference and
Interpretability Considerations in
Frequentist Model Averaging and
Selection . . . . . . . . . . . . . . . 919--921
Hemant Ishwaran and
J. Sunil Rao Discussion: Inference and
Interpretability Considerations in
Frequentist Model Averaging and
Selection . . . . . . . . . . . . . . . 922--925
Dennis Cook and
Lexin Li Discussion: Inference and
Interpretability Considerations in
Frequentist Model Averaging and
Selection . . . . . . . . . . . . . . . 925--928
Chih-Ling Tsai Discussion: Improved, Corrected, and
Profiled Focused Information Criteria 928--930
Adrian E. Raftery and
Yingye Zheng Discussion: Performance of Bayesian
Model Averaging . . . . . . . . . . . . 931--938
Nils Lid Hjort and
Gerda Claeskens Rejoinder: Performance of Bayesian Model
Averaging . . . . . . . . . . . . . . . 938--945
Sudipto Banerjee and
Alan E. Gelfand and
C. F. Sirmans Directional Rates of Change Under
Spatial Process Models . . . . . . . . . 946--954
Shiqing Ling Adaptive Estimators and Tests of
Stationary and Nonstationary Short- and
Long-Memory ARFIMA-GARCH Models . . . . 955--967
Zhishen Ye and
Robert E. Weiss Using the Bootstrap to Select One of a
New Class of Dimension Reduction Methods 968--979
Zhijie Xiao and
Oliver B. Linton and
Raymond J. Carroll and
Enno Mammen More Efficient Local Polynomial
Estimation in Nonparametric Regression
With Autocorrelated Errors . . . . . . . 980--992
Adam Clements and
Stan Hurn and
Kenneth Lindsay Möbius-Like Mappings and Their Use in
Kernel Density Estimation . . . . . . . 993--1000
Stephen Portnoy Censored Regression Quantiles . . . . . 1001--1012
Xuming He and
Li-Xing Zhu A Lack-of-Fit Test for Quantile
Regression . . . . . . . . . . . . . . . 1013--1022
Heping Zhang and
Rui Feng and
Hongtu Zhu A Latent Variable Model of Segregation
Analysis for Ordinal Traits . . . . . . 1023--1034
Ola Hössjer Determining Inheritance Distributions
via Stochastic Penetrances . . . . . . . 1035--1051
Ola Hssjer Determining Inheritance Distributions
via Stochastic Penetrances . . . . . . . 1035--1051
Song Xi Chen and
Denis H. Y. Leung and
Jing Qin Information Recovery in a Study With
Surrogate Endpoints . . . . . . . . . . 1052--1062
A. D. Tsodikov and
J. G. Ibrahim and
A. Y. Yakovlev Estimating Cure Rates From Survival
Data: An Alternative to Two-Component
Mixture Models . . . . . . . . . . . . . 1063--1078
William E. Strawderman Book Review: \booktitleAnnotated
Readings in the History of Statistics,
by H. A. David; A. W. F. Edwards . . . . 1080--1080
Jozef L. Teugels Book review: \booktitleThe Politics of
Large Numbers: a History of Statistical
Reasoning, by Alain Desrosieres;
translated By Camille Naish . . . . . . 1080--1080
Michael Daniels Book Review: \booktitleContemporary
Statistical Models for the Plant and
Soil Sciences, by Oliver Schabenberger;
Francis J. Pierce . . . . . . . . . . . 1080--1082
Harry Joe Book Review: \booktitleMultivariate
Dispersion, Central Regions and Depth:
The Lift Zonoid Approach, by Karl Mosler 1082--1082
Marieke E. Timmerman Book Review: \booktitlePrincipal
Component Analysis (second edition), by
I. T. Jolliffe . . . . . . . . . . . . . 1082--1083
Kathryn A. Prewitt Book Review: \booktitleA
Distribution-Free Theory of
Nonparametric Regression, by Laszlo
Gyrfi; Michael Kohler; Adam Krzyzak;
Harro Walk . . . . . . . . . . . . . . . 1084--1084
Òrnulf Borgan Book Review: \booktitleThe Statistical
Analysis of Failure Time Data (second
edition), by John D. Kalbfleisch; Ross
L. Prentice . . . . . . . . . . . . . . 1084--1085
Robert B. Lund Book Review: \booktitleElements of
Applied Stochastic Processes (3rd ed.),
by U. Narayan Bhat; Gregory K. Miller 1085--1086
Joseph B. Lang Book Review: \booktitleAn Introduction
to Generalized Linear Models (second
edition), by Annette J. Dobson . . . . . 1086--1087
Roland Bassett Book Review: \booktitleDebugging SAS
Programs: A Handbook of Tools and
Techniques, by Michele M. Burlew . . . . 1087--1087
Carolyn Pillers Dobler Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 1087--1087
Carolyn Pillers Dobler Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 1087--1087
Anonymous Telegraphic Reviews . . . . . . . . . . 1087
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Anonymous Volume Information . . . . . . . . . . . ??
Robert L. Mason Does the Statistics Profession Have an
Identity Crisis? . . . . . . . . . . . . 1--6
Robert Greevy and
Jeffrey H. Silber and
Avital Cnaan and
Paul R. Rosenbaum Randomization Inference With Imperfect
Compliance in the ACE-Inhibitor After
Anthracycline Randomized Trial . . . . . 7--15
Thomas R. Ten Have and
Michael R. Elliott and
Marshall Joffe and
Elaine Zanutto and
Catherine Datto Causal Models for Randomized Physician
Encouragement Trials in Treating Primary
Care Depression . . . . . . . . . . . . 16--25
B. Nebiyou Bekele and
Peter F. Thall Dose-Finding Based on Multiple
Toxicities in a Soft Tissue Sarcoma
Trial . . . . . . . . . . . . . . . . . 26--35
Scott M. Berry and
Donald A. Berry and
Kannan Natarajan and
Chen-Sheng Lin and
Charles H. Hennekens and
Rene Belder Bayesian Survival Analysis With
Nonproportional Hazards: Metanalysis of
Combination Pravastatin-Aspirin . . . . 36--44
J. R. Lockwood and
Mark J. Schervish and
Patrick L. Gurian and
Mitchell J. Small Analysis of Contaminant Co-Occurrence in
Community Water Systems . . . . . . . . 45--56
Robert Jarrow and
David Ruppert and
Yan Yu Estimating the Interest Rate Term
Structure of Corporate Debt With a
Semiparametric Penalized Spline Model 57--66
Yoonkyung Lee and
Yi Lin and
Grace Wahba Multicategory Support Vector Machines:
Theory and Application to the
Classification of Microarray Data and
Satellite Radiance Data . . . . . . . . 67--81
Magnus Ekström and
Sara Sjöstedt-De Luna Subsampling Methods to Estimate the
Variance of Sample Means Based on
Nonstationary Spatial Data With Varying
Expected Values . . . . . . . . . . . . 82--95
Bradley Efron Large-Scale Simultaneous Hypothesis
Testing: The Choice of a Null Hypothesis 96--104
Chengcheng Hu and
D. Y. Lin Semiparametric Failure Time Regression
With Replicates of Mismeasured
Covariates . . . . . . . . . . . . . . . 105--118
D. F. Signorini and
M. C. Jones Kernel Estimators for Univariate Binary
Regression . . . . . . . . . . . . . . . 119--126
Nilanjan Chatterjee A Two-Stage Regression Model for
Epidemiological Studies With
Multivariate Disease Classification Data 127--138
K. Yu and
M. C. Jones Likelihood-Based Local Linear Estimation
of the Conditional Variance Function . . 139--144
A. Adam Ding and
Weijing Wang Testing Independence for Bivariate
Current Status Data . . . . . . . . . . 145--155
Simon J. Godsill and
Arnaud Doucet and
Mike West Monte Carlo Smoothing for Nonlinear Time
Series . . . . . . . . . . . . . . . . . 156--168
E. Ferreira and
W. Stute Testing for Differences Between
Conditional Means in a Time Series
Context . . . . . . . . . . . . . . . . 169--174
Hemant Ishwaran and
Lancelot F. James Computational Methods for Multiplicative
Intensity Models Using Weighted Gamma
Processes: Proportional Hazards, Marked
Point Processes, and Panel Count Data 175--190
Sylvain Sardy and
Paul Tseng On the Statistical Analysis of Smoothing
by Maximizing Dirty Markov Random Field
Posterior Distributions . . . . . . . . 191--204
Maria De Iorio and
Peter Müller and
Gary L. Rosner and
Steven N. MacEachern An ANOVA Model for Dependent Random
Measures . . . . . . . . . . . . . . . . 205--215
Brett Presnell and
Dennis D. Boos The IOS Test for Model Misspecification 216--227
Dobrin Marchev and
James P. Hobert Geometric Ergodicity of van Dyk and
Meng's Algorithm for the Multivariate
Student's $t$ Model . . . . . . . . . . 228--238
Constantine E. Frangakis and
Ronald S. Brookmeyer and
Ravi Varadhan and
Mahboobeh Safaeian and
David Vlahov and
Steffanie A. Strathdee Methodology for Evaluating a Partially
Controlled Longitudinal Treatment Using
Principal Stratification, With
Application to a Needle Exchange Program 239--249
Hao Zhang Inconsistent Estimation and
Asymptotically Equal Interpolations in
Model-Based Geostatistics . . . . . . . 250--261
Don L. Stevens, Jr. and
Anthony R. Olsen Spatially Balanced Sampling of Natural
Resources . . . . . . . . . . . . . . . 262--278
Joseph B. Kadane and
Nicole A. Lazar Methods and Criteria for Model Selection 279--290
Brian J. Williams Book Review: \booktitleVisualizing
Statistical Models and Concepts, by R.
W. Farebrother . . . . . . . . . . . . . 292--292
Joachim Krauth Book Review: \booktitleConfigural
Frequency Analysis: Methods, Models, and
Applications, by Alexander von Eye . . . 292--293
Axel Munk Book Review: \booktitleTesting
Statistical Hypotheses of Equivalence,
by Stefan Wellek . . . . . . . . . . . . 293--293
Gauri Sankar Datta Book Review: \booktitleSmall Area
Estimation, by J. N. K. Rao . . . . . . 294--295
George Yin Book Review: \booktitleStochastic
Approximation and Its Applications, by
Han-Fu Chen . . . . . . . . . . . . . . 295--296
Timothy J. Robinson Book Review: \booktitleOptimal Design of
Blocked and Split-Plot Experiments, by
Peter Goos . . . . . . . . . . . . . . . 296--297
R. Scott Linder Book Review: \booktitleParametric and
Nonparametric Inference from
Record-Breaking Data, by Sneh Gulati;
William J. Padgett . . . . . . . . . . . 297--297
James D. Williams Book Review: \booktitleGeneralized
Estimating Equations, by James W.
Hardin; Joseph M. Hilbe . . . . . . . . 297--298
E. Boone Book review: \booktitleStatistical
Models and Methods for Lifetime Data
(second edition), by Jerald F. Lawless 298--299
Joseph Cavanaugh Book Review: \booktitleRegression Models
for Time Series Analysis, by Benjamin
Kedem; Konstantinos Fokianos . . . . . . 299--299
Anonymous Book review: \booktitleRegression Models
for Time Series Analysis. Benjamin Kedem
and Konstantinos Fokianos . . . . . . . 299
Anonymous Telegraphic Reviews . . . . . . . . . . 300--301
Mario Peruggia and
Paul A. L. Embrechts and
Christine M. Anderson-Cook and
Russell V. Lenth Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 300--301
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Dean P. Foster and
Robert A. Stine Variable Selection in Data Mining:
Building a Predictive Model for
Bankruptcy . . . . . . . . . . . . . . . 303--313
Joseph W. Hogan and
Rusty Tchernis Bayesian Factor Analysis for Spatially
Correlated Data, With Application to
Summarizing Area-Level Material
Deprivation From Census Data . . . . . . 314--324
R. King and
S. P. Brooks A Classical Study of Catch-Effort Models
for Hector's Dolphins . . . . . . . . . 325--333
Qihua Wang and
Oliver Linton and
Wolfgang Härdle Semiparametric Regression Analysis With
Missing Response at Random . . . . . . . 334--345
Hongqi Xue and
K. F. Lam and
Guoying Li Sieve Maximum Likelihood Estimator for
Semiparametric Regression Models With
Current Status Data . . . . . . . . . . 346--356
Hua Liang and
Suojin Wang and
James M. Robins and
Raymond J. Carroll Estimation in Partially Linear Models
With Missing Covariates . . . . . . . . 357--367
M. G. Akritas and
N. Papadatos Heteroscedastic One-Way ANOVA and
Lack-of-Fit Tests . . . . . . . . . . . 368--382
E. Andrés Houseman and
Louise M. Ryan and
Brent A. Coull Cholesky Residuals for Assessing Normal
Errors in a Linear Model With Correlated
Outcomes . . . . . . . . . . . . . . . . 383--394
Wei Liu and
Mortaza Jamshidian and
Ying Zhang Multiple Comparison of Several Linear
Regression Models . . . . . . . . . . . 395--403
Stephen Walker and
Paul Damien and
Peter Lenk On Priors With a Kullback--Leibler
Property . . . . . . . . . . . . . . . . 404--408
Jun Xie and
Ker-Chau Li and
Minou Bina A Bayesian Insertion/Deletion Algorithm
for Distant Protein Motif Searching via
Entropy Filtering . . . . . . . . . . . 409--420
Ming-Hui Chen and
Joseph G. Ibrahim and
Qi-Man Shao Propriety of the Posterior Distribution
and Existence of the MLE for Regression
Models With Covariates Missing at Random 421--438
Thomas J. DiCiccio and
Anna Clara Monti Inferential Aspects of the Skew
Exponential Power Distribution . . . . . 439--450
Sanjoy K. Sinha Robust Analysis of Generalized Linear
Mixed Models . . . . . . . . . . . . . . 451--460
A. S. Hedayat and
Min Yang Universal Optimality for Selected
Crossover Designs . . . . . . . . . . . 461--466
Yonghee Lee and
Jun Shao and
Shein-Chung Chow Modified Large-Sample Confidence
Intervals for Linear Combinations of
Variance Components: Extension, Theory,
and Application . . . . . . . . . . . . 467--478
George G. Judge and
Ron C. Mittelhammer A Semiparametric Basis for Combining
Estimation Problems Under Quadratic Loss 479--487
Richard Charnigo and
Jiayang Sun Testing Homogeneity in a Mixture
Distribution via the $ L^2 $ Distance
Between Competing Models . . . . . . . . 488--498
Denis Larocque and
Mélanie Labarre A Conditionally Distribution-Free
Multivariate Sign Test for One-Sided
Alternatives . . . . . . . . . . . . . . 499--509
Kenneth M. Rice Equivalence Between Conditional and
Mixture Approaches to the Rasch Model
and Matched Case-Control Studies, With
Applications . . . . . . . . . . . . . . 510--522
Perry de Valpine Monte Carlo State-Space Likelihoods by
Weighted Posterior Kernel Density
Estimation . . . . . . . . . . . . . . . 523--536
Andrew Gelman Parameterization and Bayesian Modeling 537--545
Roderick J. Little To Model or Not To Model? Competing
Modes of Inference for Finite Population
Sampling . . . . . . . . . . . . . . . . 546--556
Rachel M. Fewster Book Review: \booktitleEstimating Animal
Abundance: Closed Populations, by David
Borchers; Stephen T. Buckland; Walter
Zucchini . . . . . . . . . . . . . . . . 558--558
R. A. Bailey Book Review: \booktitleBlock Designs: A
Randomization Approach, by Tadeusz
Calínski; Sanpei Kageyama . . . . . . . . 558--560
Robert Gentleman Book Review: \booktitleCurrent Topics in
Computational Molecular Biology, by Tao
Jiang; Ying Xu; Michael Q. Zhang . . . . 560--560
Noah A. Rosenberg Book Review: \booktitleProbability
Models for DNA Sequence Evolution, by
Rick Durrett . . . . . . . . . . . . . . 560--561
Yuhong Yang Book Review: \booktitleNonlinear
Estimation and Classification, by David
D. Denison; Mark H. Hansen; Christopher
C. Holmes; Bani Mallick; Bin Yu . . . . 561--561
Christophe Pouet Book Review: \booktitleNonparametric
Goodness-of-Fit Testing under Gaussian
Models, by Yu I. Ingster; Irina A.
Suslina . . . . . . . . . . . . . . . . 561--562
George R. Terrell Book Review: \booktitleApplied
Probability, by Kenneth Lange . . . . . 562--562
Ralf Korn Book Review: \booktitleAn Elementary
Introduction to Mathematical Finance:
Options and Other Topics, by Sheldon M.
Ross . . . . . . . . . . . . . . . . . . 563--563
X. Sheldon Lin Book Review: \booktitleGeneralized
Poisson Models and Their Applications in
Insurance and Finance, by Vladimir E.
Bening; Victor Yu Korolev . . . . . . . 563--563
J. R. Lockwood Book Review: \booktitleRisk Analysis in
Engineering and Economics, by Bilal M.
Ayyub . . . . . . . . . . . . . . . . . 563--564
Alexander J. McNeil Book Review: \booktitleModeling
Financial Time Series with S-Plus, by
Eric Zivot; Jiahui Wang . . . . . . . . 564--565
Philipp Schönbucher Book review: \booktitleApplied
Computational Economics and Finance.
Mario J. Miranda and Paul L. Fackler . . 565--566
Christopher K. Wikle Book Review: \booktitleComputational
Statistics Handbook with MATLAB, by
Wendy Martinez; Angel R. Martinez . . . 566--566
David Ruppert Book Review: \booktitleThe Elements of
Statistical Learning: Data Mining,
Inference, and Prediction, by Trevor
Hastie; Robert Tibshirani; Jerome
Friedman . . . . . . . . . . . . . . . . 567--567
Harriet Black Nembhard Book Review: \booktitleStatistical
Process Adjustment Methods for Quality
Control, by Enrique del Castillo . . . . 567--568
Christine M. Anderson-Cook Book Review: \booktitleA Primer on
Statistical Distributions, by N.
Balakrishnan; V. B. Nevzorov . . . . . . 568--568
Carolyn Pillers Dobler Book Review: \booktitleStatistical
Tables, Explained and Applied, by Louis
Laurencelle; François-A. Dupuis . . . . . 568--569
Russell V. Lenth Book Review: \booktitleThe Cognitive
Style of PowerPoint, by Edward R. Tufte 569--569
Anonymous Telegraphic Reviews . . . . . . . . . . 570--573
Tapabrata Maiti and
Jon Wakefield and
Paul A. L. Embrechts and
Vincent J. Carey and
Mario Peruggia and
Robert Gentleman and
Phil Spector and
Roger Ghanem and
Mary Kathryn Cowles and
David Hunter and
Russell V. Lenth Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 570--573
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Yulia Gel and
Adrian E. Raftery and
Tilmann Gneiting and
Claudia Tebaldi and
Doug Nychka and
William Briggs and
Mark S. Roulston and
Veronica J. Berrocal Calibrated Probabilistic Mesoscale
Weather Field Forecasting: The
Geostatistical Output Perturbation
Method [with Comments, Rejoinder] . . . 575--583
Claudia Tebaldi and
Doug Nychka Comment: Calibrated Probabilistic
Mesoscale Weather Field Forecasting: The
Geostatistical Output Perturbation
Method . . . . . . . . . . . . . . . . . 583--586
William Briggs Comment: Calibrated Probabilistic
Mesoscale Weather Field Forecasting: The
Geostatistical Output Perturbation
Method . . . . . . . . . . . . . . . . . 586--587
Mark S. Roulston Comment: Calibrated Probabilistic
Mesoscale Weather Field Forecasting: The
Geostatistical Output Perturbation
Method . . . . . . . . . . . . . . . . . 587--588
Yulia Gel and
Adrian E. Raftery and
Tilmann Gneiting and
Veronica J. Berrocal Rejoinder: Calibrated Probabilistic
Mesoscale Weather Field Forecasting: The
Geostatistical Output Perturbation
Method . . . . . . . . . . . . . . . . . 588--590
Hemant Ishwaran and
Eugene H. Blackstone and
Claire E. Pothier and
Michael S. Lauer Relative Risk Forests for Exercise Heart
Rate Recovery as a Predictor of
Mortality . . . . . . . . . . . . . . . 591--600
Malay Ghosh and
Tapabrata Maiti and
Dalho Kim and
Sounak Chakraborty and
Ashutosh Tewari Hierarchical Bayesian Neural Networks:
An Application to a Prostate Cancer
Study . . . . . . . . . . . . . . . . . 601--608
Ben B. Hansen Full Matching in an Observational Study
of Coaching for the SAT . . . . . . . . 609--618
Bradley Efron and
Prabir Burman and
L. Denby and
J. M. Landwehr and
C. L. Mallows and
Xiaotong Shen and
Hsin-Cheng Huang and
Jianming Ye and
Jimmy Ye and
Chunming Zhang The Estimation of Prediction Error:
Covariance Penalties and
Cross-Validation [with Comments,
Rejoinder] . . . . . . . . . . . . . . . 619--632
Prabir Burman Comment: The Estimation of Prediction
Error: Covariance Penalties and
Cross-Validation . . . . . . . . . . . . 632--633
L. Denby and
J. M. Landwehr and
C. L. Mallows Comment: The Estimation of Prediction
Error: Covariance Penalties and
Cross-Validation . . . . . . . . . . . . 633--634
Xiaotong Shen and
Hsin-Cheng Huang and
Jianming Ye Comment: The Estimation of Prediction
Error: Covariance Penalties and
Cross-Validation . . . . . . . . . . . . 634--637
Chunming Zhang Comment: The Estimation of Prediction
Error: Covariance Penalties and
Cross-Validation . . . . . . . . . . . . 637--640
Bradley Efron Rejoinder: The Estimation of Prediction
Error: Covariance Penalties and
Cross-Validation . . . . . . . . . . . . 640--642
V. Delouille and
J. Simoens and
R. Von Sachs Smooth Design-Adapted Wavelets for
Nonparametric Stochastic Regression . . 643--658
Hao Helen Zhang and
Grace Wahba and
Yi Lin and
Meta Voelker and
Michael Ferris and
Ronald Klein and
Barbara Klein Variable Selection and Model Building
via Likelihood Basis Pursuit . . . . . . 659--672
Simon N. Wood Stable and Efficient Multiple Smoothing
Parameter Estimation for Generalized
Additive Models . . . . . . . . . . . . 673--686
Xueli Liu and
Hans-Georg Müller Functional Convex Averaging and
Synchronization for Time-Warped Random
Curves . . . . . . . . . . . . . . . . . 687--699
Lang Wu Exact and Approximate Inferences for
Nonlinear Mixed-Effects Models With
Missing Covariates . . . . . . . . . . . 700--709
Jianqing Fan and
Runze Li New Estimation and Model Selection
Procedures for Semiparametric Modeling
in Longitudinal Data Analysis . . . . . 710--723
Yi Li and
Louise Ryan Survival Analysis With Heterogeneous
Covariate Measurement Error . . . . . . 724--735
Raymond J. Carroll and
David Ruppert and
Ciprian M. Crainiceanu and
Tor D. Tosteson and
Margaret R. Karagas Nonlinear and Nonparametric Regression
and Instrumental Variables . . . . . . . 736--750
Xiaotong Shen and
Hsin-Cheng Huang and
Jimmy Ye Inference After Model Selection . . . . 751--762
Hsiao-Yun Huang and
Hernando Ombao and
David S. Stoffer Discrimination and Classification of
Nonstationary Time Series Using the SLEX
Model . . . . . . . . . . . . . . . . . 763--774
Roger Koenker and
Zhijie Xiao Unit Root Quantile Autoregression
Inference . . . . . . . . . . . . . . . 775--787
Peter Müller and
Bruno Sansó and
Maria De Iorio Optimal Bayesian Design by Inhomogeneous
Markov Chain Simulation . . . . . . . . 788--798
John Geweke Getting It Right: Joint Distribution
Tests of Posterior Simulators . . . . . 799--804
Chi-Lun Cheng and
Chih-Ling Tsai The Invariance of Some Score Tests in
the Linear Model With Classical
Measurement Error . . . . . . . . . . . 805--809
Yongtao Guan and
Michael Sherman and
James A. Calvin A Nonparametric Test for Spatial
Isotropy Using Subsampling . . . . . . . 810--821
Vern T. Farewell and
Brian D. M. Tom and
Patrick Royston The Impact of Dichotomization on the
Efficiency of Testing for an Interaction
Effect in Exponential Family Models . . 822--831
Michal Kulich and
D. Y. Lin Improving the Efficiency of
Relative-Risk Estimation in Case-Cohort
Studies . . . . . . . . . . . . . . . . 832--844
You-Gan Wang and
Vincent J. Carey Unbiased Estimating Equations From
Working Correlation Models for
Irregularly Timed Repeated Measures . . 845--853
Kosuke Imai and
David A. Van Dyk Causal Inference With General Treatment
Regimes: Generalizing the Propensity
Score . . . . . . . . . . . . . . . . . 854--866
Nozer D. Singpurwalla and
Jane M. Booker and
D. V. Lindley and
Michael Laviolette and
Lotfi A. Zadeh and
A. P. Dempster Membership Functions and Probability
Measures of Fuzzy Sets [with Comments,
Rejoinder] . . . . . . . . . . . . . . . 867--877
D. V. Lindley Comment: Membership Functions and
Probability Measures of Fuzzy Sets . . . 877--879
Michael Laviolette Comment: Membership Functions and
Probability Measures of Fuzzy Sets . . . 879--880
Lotfi A. Zadeh Comment: Membership Functions and
Probability Measures of Fuzzy Sets . . . 880--881
A. P. Dempster Comment: Membership Functions and
Probability Measures of Fuzzy Sets . . . 882--884
Nozer D. Singpurwalla and
Jane M. Booker Rejoinder: Membership Functions and
Probability Measures of Fuzzy Sets . . . 884--889
Paul Meier and
Theodore Karrison and
Rick Chappell and
Hui Xie The Price of Kaplan--Meier . . . . . . . 890--896
Anonymous Book Reviews . . . . . . . . . . . . . . 897
Matthew A. Bognar Book Review: \booktitleSpatial Cluster
Modeling, by Andrew B. Lawson; David G.
T. Denison . . . . . . . . . . . . . . . 898--899
Ilenia Epifani Book Review: \booktitleBayesian
Nonparametrics, by J. K. Ghosh; R. V.
Ramamoorthi . . . . . . . . . . . . . . 898--899
Stephen D. Kachman Book Review: \booktitleComponents of
Variance, by D. R. Cox; P. J. Solomon 899--899
Jun Yan Book Review: \booktitleSurvival
Analysis: Techniques for Censored and
Truncated Data, second edition, by John
P. Klein; Melvin L. Moeschberger . . . . 900--900
Penelope S. Pooler Book Review: \booktitleStatistical Tools
for Environmental Quality Measurement,
by Michael E. Ginevan; Douglas E.
Splitstone . . . . . . . . . . . . . . . 900--901
Christine M. Anderson-Cook Book Review: \booktitleData Analysis and
Graphics Using R: An Example-Based
Approach, by John Maindonald; John Braun 901--902
Christine M. Anderson-Cook Book Review: \booktitleStatistical Tools
for Nonlinear Regression: A Practical
Guide with S-PLUS and R Examples, second
edition, by S. Huet; A. Bouvier; M.-A.
Poursat; E. Jolivet . . . . . . . . . . 902--903
Christine M. Anderson-Cook Book Review: \booktitleHandbook of
Statistics 22: Statistics in Industry,
by R. Khattree; C. R. Rao . . . . . . . 904--904
Håvard Rue Book Review: \booktitle$2$D Object
Detection and Recognition: Models,
Algorithms, and Networks, by Yali Amit 902--903
Kenneth S. Berenhaut Book review: \booktitleAdvanced Calculus
with Applications in Statistics (second
edition), by Andr\`e I. Khuri . . . . . 903--904
James Surles Book Review: \booktitleThe
Stress-Strength Model and Its
Generalizations: Theory and
Applications, by Samuel Kotz; Yan
Lumelskii; Marianna Pensky . . . . . . . 903--904
Anonymous Telegraphic Reviews . . . . . . . . . . 905--908
Tapabrata Maiti and
Mario Peruggia and
Robert Lund and
Mary Kathryn Cowles and
Michael D. Larsen and
Paul A. L. Embrechts and
Christine M. Anderson-Cook Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 905--908
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Zhijin Wu and
Rafael A. Irizarry and
Robert Gentleman and
Francisco Martinez-Murillo and
Forrest Spencer A Model-Based Background Adjustment for
Oligonucleotide Expression Arrays . . . 909--917
Krista Fischer and
Els Goetghebeur Structural Mean Effects of
Noncompliance: Estimating Interaction
With Baseline Prognosis and Selection
Effects . . . . . . . . . . . . . . . . 918--928
Wensheng Guo and
Sarah J. Ratcliffe and
Thomas R. Ten Have A Random Pattern-Mixture Model for
Longitudinal Data With Dropouts . . . . 929--937
Francesca Dominici and
Aidan MC Dermott and
Trevor J. Hastie Improved Semiparametric Time Series
Models of Air Pollution and Mortality 938--948
Ivan Mizera and
Christine H. Müller and
Mia Hubert and
Peter J. Rousseeuw and
Karlien Vanden Branden and
Robert Serfling and
Xuming He and
Stephen Portnoy and
David Eppstein and
Peter McCullagh Location-Scale Depth [with Comments,
rejoinder] . . . . . . . . . . . . . . . 949--966
Mia Hubert and
Peter J. Rousseeuw and
Karlien Vanden Branden Comment: Location-Scale Depth . . . . . 966--969
Robert Serfling Comment: Location-Scale Depth . . . . . 970--973
Xuming He and
Stephen Portnoy Comment: Location-Scale Depth . . . . . 973--976
David Eppstein Comment: Location-Scale Depth . . . . . 976--979
Peter McCullagh Comment: Location-Scale Depth . . . . . 980--981
Ivan Mizera and
Christine H. Müller Rejoinder: Location-Scale Depth . . . . 981--989
Peter Müller and
Giovanni Parmigiani and
Christian Robert and
Judith Rousseau Optimal Sample Size for Multiple
Testing: The Case of Gene Expression
Microarrays . . . . . . . . . . . . . . 990--1001
M. Perone Pacifico and
C. Genovese and
I. Verdinelli and
L. Wasserman False Discovery Control for Random
Fields . . . . . . . . . . . . . . . . . 1002--1014
Peter Hall and
Jeff Racine and
Qi Li Cross-Validation and the Estimation of
Conditional Probability Densities . . . 1015--1026
Zhiqiang Tan On a Likelihood Approach for Monte Carlo
Integration . . . . . . . . . . . . . . 1027--1036
Yoichi Miyata Fully Exponential Laplace Approximations
Using Asymptotic Modes . . . . . . . . . 1037--1049
Nidhan Choudhuri and
Subhashis Ghosal and
Anindya Roy Bayesian Estimation of the Spectral
Density of a Time Series . . . . . . . . 1050--1059
Hari K. Iyer and
C. M. Jack Wang and
Thomas Mathew Models and Confidence Intervals for True
Values in Interlaboratory Trials . . . . 1060--1071
Bo Yang and
John E. Kolassa Smooth and Accurate Multivariate
Confidence Regions . . . . . . . . . . . 1072--1081
Anindya Roy and
Barry Falk and
Wayne A. Fuller Testing for Trend in the Presence of
Autoregressive Error . . . . . . . . . . 1082--1091
Mayte Suárez-Fariñas and
Carlos E. Pedreira and
Marcelo C. Medeiros Local Global Neural Networks: a New
Approach for Nonlinear Time Series
Modeling . . . . . . . . . . . . . . . . 1092--1107
Chang Xuan Mao Predicting the Conditional Probability
of Discovering a New Class . . . . . . . 1108--1118
Edward J. Stanek, III and
Julio M. Singer Predicting Random Effects From Finite
Population Clustered Samples With
Response Error . . . . . . . . . . . . . 1119--1130
Takis Merkouris Combining Independent Regression
Estimators From Multiple Surveys . . . . 1131--1139
Thomas D. Cook and
Michael R. Kosorok Analysis of Time-to-Event Data With
Incomplete Event Adjudication . . . . . 1140--1152
Chiung-Yu Huang and
Mei-Cheng Wang Joint Modeling and Estimation for
Recurrent Event Processes and Failure
Time Data . . . . . . . . . . . . . . . 1153--1165
Chunlei Ke and
Yuedong Wang Smoothing Spline Nonlinear Nonparametric
Regression Models . . . . . . . . . . . 1166--1175
Hua Yun Chen Nonparametric and Semiparametric Models
for Missing Covariates in Parametric
Regression . . . . . . . . . . . . . . . 1176--1189
Jesús López-Fidalgo and
Sandra A. Garcet-Rodríguez Optimal Experimental Designs When Some
Independent Variables Are Not Subject to
Control . . . . . . . . . . . . . . . . 1190--1199
George Woodworth Book Review: \booktitleBayesian
Reasoning in Data Analysis: A Critical
Introduction, by Giulio D'Agostini . . . 1201--1202
David A. Stephens Book Review: \booktitleBayesian Field
Theory, by Jörg C. Lemm . . . . . . . . . 1202--1202
Jun Yan Book Review: \booktitleBayesian Survival
Analysis, by Joseph G. Ibrahim; Ming-Hui
Chen; Debajyoti Sinha . . . . . . . . . 1202--1203
Max D. Morris Book Review: \booktitleThe Design and
Analysis of Computer Experiments, by
Thomas J. Santner; Brian J. Williams;
William I. Notz . . . . . . . . . . . . 1203--1204
Jesse Frey Book Review: \booktitleIntroduction to
Stochastic Search and Optimization:
Estimation, Simulation, and Control, by
James C. Spall . . . . . . . . . . . . . 1204--1205
Christof Schuster Book Review: \booktitleMeasures of
Interobserver Agreement, by Mohamed M.
Shoukri . . . . . . . . . . . . . . . . 1204--1205
Christine M. Anderson-Cook Book Review: \booktitleStatistical
Methods for Six Sigma in R&D and
Manufacturing, by Anand M. Joglekar . . 1205--1206
Jan Beirlant Book Review: \booktitleStatistical Size
Distributions in Economics and Actuarial
Sciences, by Christian Kleiber; Samuel
Kotz . . . . . . . . . . . . . . . . . . 1206--1207
Russell V. Lenth Book Review: \booktitlePower Analysis
for Experimental Research: A Practical
Guide for the Biological, Medical and
Social Sciences, by R. Barker Bausell;
Yu-Fang Lid; \booktitleStatistical Power
Analysis: A Simple and General Model for
Traditional and Modern Hypothesis Tests
(second edition), by Kevin R. Murphy;
Brett Myors . . . . . . . . . . . . . . 1206--1207
X. Joan Hu Book Review: \booktitleApplied
Longitudinal Data Analysis for
Epidemiology: A Practical Guide, by Jos
W. R. Twisk . . . . . . . . . . . . . . 1207--1208
Jane C. Lindsey Book Review: \booktitleHealth Science
Research: A Handbook of Quantitative
Methods, by Jennifer Peat . . . . . . . 1208--1208
Julie A. Stoner Book Review: \booktitleCross-Over Trials
in Clinical Research (second edition),
by Stephen Senn . . . . . . . . . . . . 1208--1208
Christine M. Anderson-Cook and
Russell V. Lenth and
Murray Jorgensen and
Robert B. Lund and
Jane C. Lindsey and
RVL Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 1209--1210
Anonymous Telegraphic Reviews . . . . . . . . . . 1209--1210
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Anonymous Volume Information . . . . . . . . . . . ??
Bradley Efron Bayesians, Frequentists, and Scientists 1--5
Sean D. Campbell and
Francis X. Diebold Weather Forecasting for Weather
Derivatives . . . . . . . . . . . . . . 6--16
Jason R. W. Merrick and
Refik Soyer and
Thomas A. Mazzuchi Are Maintenance Practices for Railroad
Tracks Effective? . . . . . . . . . . . 17--25
Roger D. Peng and
Frederic Paik Schoenberg and
James A. Woods A Space--time Conditional Intensity
Model for Evaluating a Wildfire Hazard
Index . . . . . . . . . . . . . . . . . 26--35
Lawrence Brown and
Noah Gans and
Avishai Mandelbaum and
Anat Sakov and
Haipeng Shen and
Sergey Zeltyn and
Linda Zhao Statistical Analysis of a Telephone Call
Center: a Queueing-Science Perspective 36--50
Xi Zhou and
Edwin S. Iversen, Jr. and
Giovanni Parmigiani Classification of Missense Mutations of
Disease Genes . . . . . . . . . . . . . 51--60
Douglas N. Midthune and
Michael P. Fay and
Limin X. Clegg and
Eric J. Feuer Modeling Reporting Delays and Reporting
Corrections in Cancer Registry Data . . 61--70
Yoav Benjamini and
Daniel Yekutieli and
Don Edwards and
Juliet Popper Shaffer and
Ajit C. Tamhane and
Peter H. Westfall and
Burt Holland False Discovery Rate: Adjusted Multiple
Confidence Intervals for Selected
Parameters [with Comments, Rejoinder] 71--81
Don Edwards Comment: False Discovery Rate-Adjusted
Multiple Confidence Intervals for
Selected Parameters . . . . . . . . . . 81--82
Juliet Popper Shaffer Comment: False Discovery Rate-Adjusted
Multiple Confidence Intervals for
Selected Parameters . . . . . . . . . . 82--84
Ajit C. Tamhane Comment: False Discovery Rate-Adjusted
Multiple Confidence Intervals for
Selected Parameters . . . . . . . . . . 84--85
Peter H. Westfall Comment: False Discovery Rate-Adjusted
Multiple Confidence Intervals for
Selected Parameters . . . . . . . . . . 85--89
Burt Holland Comment: False Discovery Rate-Adjusted
Multiple Confidence Intervals for
Selected Parameters . . . . . . . . . . 89--90
Yoav Benjamini and
Daniel Yekutieli Rejoinder: False Discovery Rate-Adjusted
Multiple Confidence Intervals for
Selected Parameters . . . . . . . . . . 90--93
Joseph P. Romano and
Michael Wolf Exact and Approximate Stepdown Methods
for Multiple Hypothesis Testing . . . . 94--108
Yuguo Chen and
Persi Diaconis and
Susan P. Holmes and
Jun S. Liu Sequential Monte Carlo Methods for
Statistical Analysis of Tables . . . . . 109--120
Joseph B. Lang Homogeneous Linear Predictor Models for
Contingency Tables . . . . . . . . . . . 121--134
Daniel Peña and
Ismael Sánchez Multifold Predictive Validation in ARMAX
Time Series Models . . . . . . . . . . . 135--146
Naisyin Wang and
Raymond J. Carroll and
Xihong Lin Efficient Semiparametric Marginal
Estimation for Longitudinal/Clustered
Data . . . . . . . . . . . . . . . . . . 147--157
Xiang-Yang Lou and
George Casella and
Rory J. Todhunter and
Mark C. K. Yang and
Rongling Wu A General Statistical Framework for
Unifying Interval and Linkage
Disequilibrium Mapping: Toward
High-Resolution Mapping of Quantitative
Traits . . . . . . . . . . . . . . . . . 158--171
Lu Tian and
David Zucker and
L. J. Wei On the Cox Model With Time-Varying
Regression Coefficients . . . . . . . . 172--183
Jun Yan and
Jason P. Fine Functional Association Models for
Multivariate Survival Processes . . . . 184--196
Tatsuki Koyama and
Allan R. Sampson and
Leon J. Gleser A Calculus for Design of Two-Stage
Adaptive Procedures . . . . . . . . . . 197--203
Prasad A. Naik and
Chih-Ling Tsai Constrained Inverse Regression for
Incorporating Prior Information . . . . 204--211
Songnian Chen and
Gordon B. Dahl and
Shakeeb Khan Nonparametric Identification and
Estimation of a Censored Location-Scale
Regression Model . . . . . . . . . . . . 212--221
P. Lahiri and
Michael D. Larsen Regression Analysis With Linked Data . . 222--230
Ian W. McKeague A Statistical Model for Signature
Verification . . . . . . . . . . . . . . 231--241
Deborah Burr and
Hani Doss A Bayesian Semiparametric Model for
Random-Effects Meta-Analysis . . . . . . 242--251
Hammou El Barmi and
Hari Mukerjee Inferences Under a Stochastic Ordering
Constraint: The $k$-Sample Case . . . . 252--261
Paul H. Kvam and
Edsel A. Peña Estimating Load-Sharing Properties in a
Dynamic Reliability System . . . . . . . 262--272
Jin-Ting Zhang Approximate and Asymptotic Distributions
of Chi-Squared-Type Mixtures With
Applications . . . . . . . . . . . . . . 273--285
Peter D. Hoff Bilinear Mixed-Effects Models for Dyadic
Data . . . . . . . . . . . . . . . . . . 286--295
Vanja M. Duki\'c and
Edsel A. Peña Variance Estimation in a Model With
Gaussian Submodels . . . . . . . . . . . 296--309
Michael L. Stein Space: Time Covariance Functions . . . . 310--321
Donald B. Rubin Causal Inference Using Potential
Outcomes: Design, Modeling, Decisions 322--331
Joseph G. Ibrahim and
Ming-Hui Chen and
Stuart R. Lipsitz and
Amy H. Herring Missing-Data Methods for Generalized
Linear Models: a Comparative Review . . 332--346
Jay Breidt Book Review: \booktitleNonlinear Time
Series: Nonparametric and Parametric
Methods, by Jianqing Fan; Qiwei Yao . . 348--349
Charles M. Goldie Book Review: \booktitleDistribution
Theory of Runs and Patterns and Its
Applications: A Finite Markov Chain
Imbedding Approach, by James C. Fu; W.
Y. Lou . . . . . . . . . . . . . . . . . 349--350
Frederic P. Schoenberg Book Review: \booktitleStatistical
inference and Simulation for Spatial
Point Processes, by Jesper Mòller; Rasmus
P. Waagepetersen . . . . . . . . . . . . 349--350
Sarah M. Ryan Book review: \booktitleStochastic Models
in Queueing Theory (second edition), by
J. Medhi . . . . . . . . . . . . . . . . 350--351
Karla V. Ballman Book Review: \booktitleDiscrete Choice
Methods with Simulations, by Kenneth E.
Train . . . . . . . . . . . . . . . . . 351--352
Antonietta Mira Book Review: \booktitleHighly Structured
Stochastic Systems, by Peter J. Green;
Nils Lid Hjort; Sylvia Richardson . . . 351--352
Carolyn J. Anderson Book Review: \booktitleApplied
Longitudinal Data Analysis: Modeling
Change and Event Occurrence, by Judith
D. Singer; John B. Willett . . . . . . . 352--353
Risto Lehtonen Book Review: \booktitleMultilevel
Statistical Models, third edition, by
Harvey Goldstein . . . . . . . . . . . . 353--354
Lynne Seymour Book Review: \booktitleSpatial Data
Analysis: Theory and Practice, by Robert
Haining . . . . . . . . . . . . . . . . 353--353
Jun Yan Book Review: \booktitleAnalysis of
Multivariate Survival Data, by Phillip
Hougaard . . . . . . . . . . . . . . . . 354--355
Peter Müller Book Review: \booktitleApplied Bayesian
Modelling, by Peter Congdon . . . . . . 355--356
Thomas H. Short Book Review: \booktitleSubjective and
Objective Bayesian Statistics:
Principles, Models, and Applications, by
S. James . . . . . . . . . . . . . . . . 355--356
Imbi Traat Book Review: \booktitleSample Survey
Theory: Some Pythagorean Perspectives,
by Paul Knottnerus . . . . . . . . . . . 356--356
Tapabrata Maiti and
Carolyn Pillers Dobler and
Christine M. Anderson-Cook and
Russell V. Lenth Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 357--357
Anonymous Telegraphic Reviews . . . . . . . . . . 357
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Steven L. Scott and
Gareth M. James and
Catherine A. Sugar Hidden Markov Models for Longitudinal
Comparisons . . . . . . . . . . . . . . 359--369
C. Paddy Farrington and
Heather J. Whitaker Contact Surface Models for Infectious
Diseases: Estimation From Serologic
Survey Data . . . . . . . . . . . . . . 370--379
Michael R. Elliott and
Roderick J. A. Little A Bayesian Approach to 2000 Census
Evaluation Using ACE Survey Data and
Demographic Analysis . . . . . . . . . . 380--388
Robert M. Dorazio and
J. Andrew Royle Estimating Size and Composition of
Biological Communities by Modeling the
Occurrence of Species . . . . . . . . . 389--398
Edwin S. Iversen, Jr. and
Sining Chen Population-Calibrated Gene
Characterization: Estimating Age at
Onset Distributions Associated With
Cancer Genes . . . . . . . . . . . . . . 399--409
R. Dennis Cook and
Liqiang Ni Sufficient Dimension Reduction via
Inverse Regression: a Minimum
Discrepancy Approach . . . . . . . . . . 410--428
Alexander Samarov and
Vladimir Spokoiny and
Celine Vial Component Identification and Estimation
in Nonlinear High-Dimensional Regression
Models by Structural Adaptation . . . . 429--445
P. Y. Lai and
Stephen M. S. Lee An Overview of Asymptotic Properties of
$ L_p $ Regression Under General Classes
of Error Distributions . . . . . . . . . 446--458
Mark A. Weaver and
Haibo Zhou An Estimated Likelihood Method for
Continuous Outcome Regression Models
With Outcome-Dependent Sampling . . . . 459--469
Donglin Zeng and
D. Y. Lin and
Guosheng Yin Maximum Likelihood Estimation for the
Proportional Odds Model With Random
Effects . . . . . . . . . . . . . . . . 470--483
Emily C. Martin and
Rebecca A. Betensky Testing Quasi-Independence of Failure
and Truncation Times via Conditional
Kendall's Tau . . . . . . . . . . . . . 484--492
Qing Liu and
Gordon W. Pledger Phase 2 and 3 Combination Designs to
Accelerate Drug Development . . . . . . 493--502
Holger Dette and
Natalie Neumeyer and
Kay F. Pilz A Note on Nonparametric Estimation of
the Effective Dose in Quantal Bioassay 503--510
Paul R. Rosenbaum Exact, Nonparametric Inference When
Doses Are Measured With Random Errors 511--518
Hernando Ombao and
Rainer von Sachs and
Wensheng Guo SLEX Analysis of Multivariate
Nonstationary Time Series . . . . . . . 519--531
Christian Francq and
Roch Roy and
Jean-Michel Zako\"\ian Diagnostic Checking in ARMA Models With
Uncorrelated Errors . . . . . . . . . . 532--544
Efstathios Paparoditis and
Dimitris N. Politis Bootstrapping Unit Root Tests for
Autoregressive Time Series . . . . . . . 545--553
Michael K. Pitt and
Stephen G. Walker Constructing Stationary Time Series
Models Using Auxiliary Variables With
Applications . . . . . . . . . . . . . . 554--564
Gareth M. James and
Bernard W. Silverman Functional Adaptive Model Estimation . . 565--576
Fang Yao and
Hans-Georg Müller and
Jane-Ling Wang Functional Data Analysis for Sparse
Longitudinal Data . . . . . . . . . . . 577--590
Samiran Sinha and
Bhramar Mukherjee and
Malay Ghosh and
Bani K. Mallick and
Raymond J. Carroll Semiparametric Bayesian Analysis of
Matched Case-Control Studies With
Missing Exposure . . . . . . . . . . . . 591--601
Mahlet G. Tadesse and
Naijun Sha and
Marina Vannucci Bayesian Variable Selection in
Clustering High-Dimensional Data . . . . 602--617
David B. Dunson Bayesian Semiparametric Isotonic
Regression for Count Data . . . . . . . 618--627
Loriano Mancini and
Elvezio Ronchetti and
Fabio Trojani Optimal Conditionally Unbiased
Bounded-Influence Inference in Dynamic
Location and Scale Models . . . . . . . 628--641
C. H. Sim and
F. F. Gan and
T. C. Chang Outlier Labeling With Boxplot Procedures 642--652
Hyoung-Moon Kim and
Bani K. Mallick and
C. C. Holmes Analyzing Nonstationary Spatial Data
Using Piecewise Gaussian Processes . . . 653--668
Shuyuan He and
Grace L. Yang and
Kai Tai Fang and
John F. Widmann Estimation of Poisson Intensity in the
Presence of Dead Time . . . . . . . . . 669--679
Paul H. Garthwaite and
Joseph B. Kadane and
Anthony O'Hagan Statistical Methods for Eliciting
Probability Distributions . . . . . . . 680--700
Peter Diggle Book Review: \booktitleApplied Spatial
Statistics for Public Health Data, by
Lance A. Waller; Carol A. Gotway . . . . 702--703
David L. Banks Book Review: \booktitleFoundations of
Risk Analysis: A Knowledge and
Decision-Oriented Perspective, by Terje
Aven . . . . . . . . . . . . . . . . . . 703--704
Peter C. Kiessler Book Review: \booktitleComparison
Methods for Stochastic Models and Risks,
by Alfred Müller; Dietrich Stoyan . . . . 704--704
Erinn M. Hade Book Review: \booktitleQuantitative
Methods in Population Health: Extensions
of Ordinary Regression, by Mari Palta 704--705
Peihua Qiu Book Review: \booktitleThe Statistical
Evaluation of Medical Tests for
Classification and Prediction, by
Margaret Sullivan Pepe . . . . . . . . . 705--705
Giovanni Baiocchi Book Review: \booktitleComputational
Methods in Statistics and Econometrics,
by Hisashi Tanizaki . . . . . . . . . . 705--707
T. Van Zandt Book Review: \booktitleNumerical Issues
in Statistical Computing for the Social
Scientist, by Micah Altman; Jeff Gill;
Michael P. McDonald . . . . . . . . . . 707--708
Christine M. Anderson-Cook Book Review: \booktitleExperimental and
Quasi-Experimental Designs for
Generalized Causal Inference, by William
R. Shadish; Thomas D. Cook; Donald T.
Campbell . . . . . . . . . . . . . . . . 708--708
Christine M. Anderson-Cook Book review: \booktitlePlanning,
Construction, and Statistical Analysis
of Comparative Experiments. Francis G.
Giesbrecht and Marcia L. Gumpertz . . . 708--709
Christine M. Anderson-Cook Book Review: \booktitlePlanning,
Construction, and Statistical Analysis
of Comparative Experiments, by Francis
G. Giesbrecht; Marcia L. Gumpertz . . . 708--709
Geert Molenberghs Book Review: \booktitleApplied
Longitudinal Analysis, by Garrett M.
Fitzmaurice; Nan M. Laird; James H. Ware 709--710
Luisa Corrado Book Review: \booktitleGeneralized
Latent Variable Modeling: Multilevel,
Longitudinal, and Structural Equation
Models, by Anders Skrondal; Sophia
Rabe-Hesketh . . . . . . . . . . . . . . 710--711
Robert Gentleman Book Review: \booktitleMicroarray
Quality Control, by Wei Zhang; Ilya
Shmulevich; Jaakko Astola . . . . . . . 711--711
Robert Gentleman Book Review: \booktitleDesign and
Analysis of DNA Microarray
Investigations, by Richard M. Simon;
Edward L. Korn; Lisa M. McShane; Michael
D. Radmacher; George W. Wright; Yingdong
Zhao . . . . . . . . . . . . . . . . . . 711--712
Vincent J. Carey Book Review: \booktitleMathematical and
Statistical Methods for Genetic Analysis
(second edition), by Kenneth Lange . . . 712--712
Vincent J. Carey Book Review: \booktitleResampling
Methods for Dependent Data, by S. N.
Lahiri . . . . . . . . . . . . . . . . . 712--713
Russell V. Lenth Book Review: \booktitleRecurrent Events
Data Analysis for Product Repairs,
Disease Recurrences, and Other
Applications, by Wayne B. Nelson . . . . 713--713
Anonymous Telegraphic Reviews . . . . . . . . . . 713--715
Tapabrata Maiti and
Richard J. Cleary and
Russell V. Lenth Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 713--715
Anonymous Correction . . . . . . . . . . . . . . . 716--718
Anonymous Correction: Nonparametric Hypothesis
Testing for a Spatial Signal . . . . . . 716--718
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Dabao Zhang and
Martin T. Wells and
Bruce W. Turnbull and
David Sparrow and
Patricia A. Cassano Hierarchical Graphical Models: An
Application to Pulmonary Function and
Cholesterol Levels in the Normative
Aging Study . . . . . . . . . . . . . . 719--727
Shibao Feng and
Robert A. Wolfe and
Friedrich K. Port Frailty Survival Model Analysis of the
National Deceased Donor Kidney
Transplant Dataset Using Poisson
Variance Structures . . . . . . . . . . 728--735
Subal C. Kumbhakar and
Efthymios G. Tsionas The Joint Measurement of Technical and
Allocative Inefficiencies: An
Application of Bayesian Inference in
Nonlinear Random-Effects Models . . . . 736--747
Ta-Hsin Li A Hierarchical Framework for Modeling
and Forecasting Web Server Workload . . 748--763
Hemant Ishwaran and
J. Sunil Rao Spike and Slab Gene Selection for
Multigroup Microarray Data . . . . . . . 764--780
Jianqing Fan and
Heng Peng and
Tao Huang and
Chiara Sabatti and
Bruce A. Craig and
Jian Huang and
Cun-Hui Zhang and
Heping Zhang and
Michael R. Kosorok and
Shuangge Ma and
Robert Tibshirani and
Yi Ren Semilinear High-Dimensional Model for
Normalization of Microarray Data: a
Theoretical Analysis and Partial
Consistency [with Comments, Rejoinder] 781--796
Chiara Sabatti Comment: Semilinear High-Dimensional
Model for Normalization of Microarray
Data . . . . . . . . . . . . . . . . . . 796--798
Bruce A. Craig Comment: Semilinear High-Dimensional
Model for Normalization of Microarray
Data . . . . . . . . . . . . . . . . . . 799--800
Jian Huang and
Cun-Hui Zhang Comment: Semilinear High-Dimensional
Model for Normalization of Microarray
Data . . . . . . . . . . . . . . . . . . 800--804
Heping Zhang Comment: Semilinear High-Dimensional
Model for Normalization of Microarray
Data . . . . . . . . . . . . . . . . . . 804--804
Michael R. Kosorok and
Shuangge Ma Comment: Semilinear High-Dimensional
Model for Normalization of Microarray
Data . . . . . . . . . . . . . . . . . . 805--807
Robert Tibshirani Comment: Semilinear High-Dimensional
Model for Normalization of Microarray
Data . . . . . . . . . . . . . . . . . . 807--808
Jianqing Fan and
Heng Peng and
Tao Huang and
Yi Ren Rejoinder: Semilinear High-Dimensional
Model for Normalization of Microarray
Data . . . . . . . . . . . . . . . . . . 808--813
Jian Huang and
Deli Wang and
Cun-Hui Zhang A Two-Way Semilinear Model for
Normalization and Analysis of cDNA
Microarray Data . . . . . . . . . . . . 814--829
Mario Forni and
Marc Hallin and
Marco Lippi and
Lucrezia Reichlin The Generalized Dynamic Factor Model:
One-Sided Estimation and Forecasting . . 830--840
John Staudenmayer and
John P. Buonaccorsi Measurement Error in Linear
Autoregressive Models . . . . . . . . . 841--852
Clifford Hurvich and
Gabriel Lang and
Philippe Soulier Estimation of Long Memory in the
Presence of a Smooth Nonparametric Trend 853--871
Joel A. Dubin and
Hans-Georg Müller Dynamical Correlation for Multivariate
Longitudinal Data . . . . . . . . . . . 872--881
Jianguo Sun and
Do-Hwan Park and
Liuquan Sun and
Xingqiu Zhao Semiparametric Regression Analysis of
Longitudinal Data With Informative
Observation Times . . . . . . . . . . . 882--889
Jianqing Fan and
Jiancheng Jiang Nonparametric Inferences for Additive
Models . . . . . . . . . . . . . . . . . 890--907
Somnath Datta and
Glen A. Satten Rank-Sum Tests for Clustered Data . . . 908--915
Sara Taskinen and
Hannu Oja and
Ronald H. Randles Multivariate Nonparametric Tests of
Independence . . . . . . . . . . . . . . 916--925
Xin Gao and
Mayer Alvo A Unified Nonparametric Approach for
Unbalanced Factorial Designs . . . . . . 926--941
Ji-Ping Z. Wang and
Bruce G. Lindsay A Penalized Nonparametric Maximum
Likelihood Approach to Species Richness
Estimation . . . . . . . . . . . . . . . 942--959
Bee Leng Lee and
Michael R. Kosorok and
Jason P. Fine The Profile Sampler . . . . . . . . . . 960--969
Sílvia Gonçalves and
Halbert White Bootstrap Standard Error Estimates for
Linear Regression . . . . . . . . . . . 970--979
Yanyuan Ma and
Marc G. Genton and
Anastasios A. Tsiatis Locally Efficient Semiparametric
Estimators for Generalized
Skew-Elliptical Distributions . . . . . 980--989
Nicoleta Serban and
Larry Wasserman CATS . . . . . . . . . . . . . . . . . . 990--999
Nicoleta Serban and
Larry Wasserman CATS: Clustering after Transformation
and Smoothing . . . . . . . . . . . . . 990--999
Donglin Zeng and
Guosheng Yin and
Joseph G. Ibrahim Inference for a Class of Transformed
Hazards Models . . . . . . . . . . . . . 1000--1008
Albert Maydeu-Olivares and
Harry Joe Limited- and Full-Information Estimation
and Goodness-of-Fit Testing in $ 2^n $
Contingency Tables: a Unified Framework 1009--1020
Alan E. Gelfand and
Athanasios Kottas and
Steven N. MacEachern Bayesian Nonparametric Spatial Modeling
With Dirichlet Process Mixing . . . . . 1021--1035
Luis Angel García-Escudero and
Alfonso Gordaliza Generalized Radius Processes for
Elliptically Contoured Distributions . . 1036--1045
Halina Frydman Estimation in the Mixture of Markov
Chains Moving With Different Speeds . . 1046--1053
Chen-Pin Wang and
C. Hendricks Brown and
Karen Bandeen-Roche Residual Diagnostics for Growth Mixture
Models: Examining the Impact of a
Preventive Intervention on Multiple
Trajectories of Aggressive Behavior . . 1054--1076
Scott A. Sisson Transdimensional Markov Chains: a Decade
of Progress and Future Perspectives . . 1077--1089
Anonymous Book Reviews . . . . . . . . . . . . . . 1090--1090
Colin M. Gallagher Book Review: \booktitleDiagnostic Checks
in Time Series, by Wai Keung Li . . . . 1091--1092
Richard R. Picard Book Review: \booktitleIntroduction to
Rare Event Simulation, by James Antonio
Bucklew . . . . . . . . . . . . . . . . 1091--1091
J. P. Morgan Book Review: \booktitleAssociation
Schemes: Designed Experiments, Algebra
and Combinatorics, by Rosemary Bailey 1092--1093
Omer Ozturk Book Review: \booktitleRanked Set
Sampling: Theory and Applications, by
Zehua Chen; Zhidong Bai; Bimal K. Sinha 1093--1094
Johanna Neslehova Book Review: \booktitleWeibull Models,
by Prabhakar D. N. Murthy; Min Xie;
Renyan Jiang . . . . . . . . . . . . . . 1094--1094
Philip F. Rust Book Review: \booktitleStatistical
Methods of Analysis, by Chin Long Chiang 1094--1095
Charles R. Hadlock Book Review: \booktitleCausality:
Models, Reasoning, and Inference, by
Judea Pearl . . . . . . . . . . . . . . 1095--1096
Marco F. Ramoni Book Review: \booktitleBayesian
Artificial Intelligence, by Keven B.
Korb; Ann E. Nicholson . . . . . . . . . 1096--1097
Hans-Jakob Luethi Book Review: \booktitleConvex
Optimization, by Stephen Boyd; Lieven
Vandenberghe . . . . . . . . . . . . . . 1097--1097
F. James Rohlf Book Review: \booktitleProcrustes
Problems, by John C. Gower; Garmt B.
Dijksterhuis . . . . . . . . . . . . . . 1097--1097
Ralf Korn Book Review: \booktitleAn Introduction
to Financial Option Valuation:
Mathematics, Stochastics and
Computation, by Desmond J. Higham . . . 1098--1098
Ana-Maria Matache Book Review: \booktitleC++ Design
Patterns and Derivatives Pricing, by
Mark Joshi . . . . . . . . . . . . . . . 1098--1098
Elvezio Ronchetti Book Review: \booktitleFinite-Sample
Econometrics: Advanced Texts in
Econometrics, by Aman Ullah . . . . . . 1098--1099
Christine M. Anderson-Cook Book Review: \booktitlePractical Genetic
Algorithms, by Randy L. Haupt; Sue Ellen
Haupt . . . . . . . . . . . . . . . . . 1099--1099
Christine M. Anderson-Cook and
Paul Embrechts Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 1099--1100
Anonymous Correction . . . . . . . . . . . . . . . 1101--1101
Anonymous Correction: Fully Exponential Laplace
Approximations Using Asymptotic Modes 1101--1101
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Jerome P. Reiter Estimating Risks of Identification
Disclosure in Microdata . . . . . . . . 1103--1112
Jose Manuel Pavía-Miralles Forecasts from Nonrandom Samples: The
Election Night Case . . . . . . . . . . 1113--1122
Recai M. Yucel and
Alan M. Zaslavsky Imputation of Binary Treatment Variables
With Measurement Error in Administrative
Data . . . . . . . . . . . . . . . . . . 1123--1132
Ke Xu and
Christopher K. Wikle and
Neil I. Fox A Kernel-Based Spatio-Temporal Dynamical
Model for Nowcasting Weather Radar
Reflectivities . . . . . . . . . . . . . 1133--1144
Peter X.-K. Song and
Yanqin Fan and
John D. Kalbfleisch and
Jiming Jiang and
Thomas A. Louis and
J. G. Liao and
Bahjat F. Qaqish and
David Ruppert Maximization by Parts in Likelihood
Inference [With Comments, Rejoinder] . . 1145--1158
Jiming Jiang Comment: Maximization by Parts in
Likelihood Inference . . . . . . . . . . 1158--1159
Thomas A. Louis Comment: Maximization by Parts in
Likelihood Inference . . . . . . . . . . 1159--1160
J. G. Liao and
Bahjat F. Qaqish Comment: Maximization by Parts in
Likelihood Inference . . . . . . . . . . 1160--1161
David Ruppert Comment: Maximization by Parts in
Likelihood Inference . . . . . . . . . . 1161--1163
Peter X.-K. Song and
Yanqin Fan and
John D. Kalbfleisch Rejoinder: Maximization by Parts in
Likelihood Inference . . . . . . . . . . 1164--1167
Yannis G. Yatracos Artificially Augmented Samples,
Shrinkage, and Mean Squared Error
Reduction . . . . . . . . . . . . . . . 1168--1175
Xuming He and
Wing K. Fung and
Zhongyi Zhu Robust Estimation in Generalized Partial
Linear Models for Clustered Data . . . . 1176--1184
Sam Efromovich Univariate Nonparametric Regression in
the Presence of Auxiliary Covariates . . 1185--1201
Zheng Yuan and
Yuhong Yang Combining Linear Regression Models: When
and How? . . . . . . . . . . . . . . . . 1202--1214
Ming Yuan and
Yi Lin Efficient Empirical Bayes Variable
Selection and Estimation in Linear
Models . . . . . . . . . . . . . . . . . 1215--1225
José A. F. Machado and
J. M. C. Santos Silva Quantiles for Counts . . . . . . . . . . 1226--1237
Joel L. Horowitz and
Sokbae Lee Nonparametric Estimation of an Additive
Quantile Regression Model . . . . . . . 1238--1249
Lihong Qi and
C. Y. Wang and
Ross L. Prentice Weighted Estimators for Proportional
Hazards Regression With Missing
Covariates . . . . . . . . . . . . . . . 1250--1263
David M. Zucker A Pseudo--Partial Likelihood Method for
Semiparametric Survival Regression With
Covariate Errors . . . . . . . . . . . . 1264--1277
Antonio Lijoi and
Ramsés H. Mena and
Igor Prünster Hierarchical Mixture Modeling With
Normalized Inverse-Gaussian Priors . . . 1278--1291
Antonio Lijoi and
Igor Prünster and
Stephen G. Walker On Consistency of Nonparametric Normal
Mixtures for Bayesian Density Estimation 1292--1296
Samuel Müller and
A. H. Welsh Outlier Robust Model Selection in Linear
Regression . . . . . . . . . . . . . . . 1297--1310
Faming Liang A Generalized Wang--Landau Algorithm for
Monte Carlo Computation . . . . . . . . 1311--1327
Marcel Wolbers and
Werner Stahel Linear Unmixing of Multivariate
Observations: a Structural Model . . . . 1328--1342
ShengLi Tzeng and
Hsin-Cheng Huang and
Noel Cressie A Fast, Optimal Spatial-Prediction
Method for Massive Datasets . . . . . . 1343--1357
Eric D. Kolaczyk and
Junchang Ju and
Sucharita Gopal Multiscale, Multigranular Statistical
Image Segmentation . . . . . . . . . . . 1358--1369
Holger Dette and
Viatcheslav B. Melas and
Weng Kee Wong Optimal Design for Goodness-of-Fit of
the Michaelis--Menten Enzyme Kinetic
Function . . . . . . . . . . . . . . . . 1370--1381
Paulo Gonçalv\`es and
Rudolf Riedi Diverging Moments and Parameter
Estimation . . . . . . . . . . . . . . . 1382--1393
Lan Zhang and
Per A. Mykland and
Yacine A\"\it-Sahalia A Tale of Two Time Scales: Determining
Integrated Volatility with Noisy
High-Frequency Data . . . . . . . . . . 1394--1411
Ming T. Lin and
Junni L. Zhang and
Qiansheng Cheng and
Rong Chen Independent Particle Filters . . . . . . 1412--1421
M. C. Jones and
Arthur Pewsey A Family of Symmetric Distributions on
the Circle . . . . . . . . . . . . . . . 1422--1428
Giorgio E. Montanari and
M. Giovanna Ranalli Nonparametric Model Calibration
Estimation in Survey Sampling . . . . . 1429--1442
Brisa N. Sánchez and
Esben Budtz-Jòrgensen and
Louise M. Ryan and
Howard Hu Structural Equation Models: a Review
with Applications to Environmental
Epidemiology . . . . . . . . . . . . . . 1443--1455
Anonymous Book Reviews . . . . . . . . . . . . . . 1456--1456
Russell Steele Book Review: \booktitleOptimization, by
Kenneth Lange . . . . . . . . . . . . . 1457--1457
David H. Annis Book Review: \booktitlePermutation,
Parametric, and Bootstrap Tests of
Hypotheses, by Phillip Good . . . . . . 1457--1458
Markus Leippold Book Review: \booktitleStatistics,
Econometrics and Forecasting, by Arnold
Zellner . . . . . . . . . . . . . . . . 1458--1458
Robert Lund Book Review: \booktitlePeriodic Time
Series Models, by Philip Hans Franses;
Richard Paap . . . . . . . . . . . . . . 1458--1459
Yannick Malevergne Book Review: \booktitlePreparing for the
Worst: Incorporating Downside Risk in
Stock Market Investments, by Hrishikesh
D. Vinod; Derrick P. Reagle . . . . . . 1459--1460
Ralph deLaubenfels Book Review: \booktitleFeynman-Kac
Formulae: Genealogical and Interacting
Particle Systems with Applications, by
Pierre Del Moral . . . . . . . . . . . . 1460--1460
Alexander Novikov Book Review: \booktitleLévy Processes and
Stochastic Calculus, by David Applebaum 1461--1461
Yuhong Yang Book Review: \booktitleInformation
Theory, Inference, and Learning
Algorithms, by David J. C. MacKay . . . 1461--1462
David H. Annis Book Review: \booktitleStereology for
Statisticians, by Adrian Baddeley; Eva
B. Vedel Jensen . . . . . . . . . . . . 1462--1462
B. D. McCullough Book Review: \booktitleMeasurement
Theory and Practice: The World through
Quantification, by David J. Hand . . . . 1462--1463
Alex Dmitrienko Book Review: \booktitleMultiple Analyses
in Clinical Trials: Fundamentals for
Investigators, by Lemuel A. Moyé . . . . 1463--1463
Peter Kraft and
Christoph Lange Book Review: \booktitleStatistical
Methods in Genetic Epidemiology, by
Duncan C. Thomas . . . . . . . . . . . . 1464--1464
Alan R. Kristal Book Review: \booktitleStatistical
Estimation of Epidemiological Risk, by
Kung-Jong Lui . . . . . . . . . . . . . 1464--1464
Darlene R. Goldstein Book Review: \booktitleAnalyzing
Microarray Gene Expression Data, by
Geoffrey J. McLachlan; Kim-Anh Do;
Christophe Ambroise . . . . . . . . . . 1464--1465
George A. Marcoulides Book Review: \booktitleDiscovering
Knowledge in Data: An Introduction to
Data Mining, by Daniel T. Larose . . . . 1465--1465
D. Pauler Ankerst Book Review: \booktitleKendall's
Advanced Theory of Statistics, Vol. 2B:
Bayesian Inference, by Kendall; Anthony
O'Hagan; Jonathan Forster . . . . . . . 1465--1466
Anonymous Telegraphic Reviews . . . . . . . . . . 1466--1469
Mario Peruggia and
Russell V. Lenth and
R. V. L. and
Carolyn Pillers Dobler and
Robert Lund and
Tapabrata Maiti and
C. P. D. and
Robert Gentleman and
R. L. Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 1466--1469
Anonymous 2005 Editorial Collaborators . . . . . . 1470--1481
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Anonymous Volume Information . . . . . . . . . . . ??
Richard J. Swartz and
Dennis D. Cox and
Scott B. Cantor and
Kalatu Davies and
Michele Follen Inverse Decision Theory: Characterizing
Losses for a Decision Rule with
Applications in Cervical Cancer
Screening . . . . . . . . . . . . . . . 1--8
Knashawn H. Morales and
Joseph G. Ibrahim and
Chien-Jen Chen and
Louise M. Ryan Bayesian Model Averaging With
Applications to Benchmark Dose
Estimation for Arsenic in Drinking Water 9--17
Nicholas A. Heard and
Christopher C. Holmes and
David A. Stephens A Quantitative Study of Gene Regulation
Involved in the Immune Response of
Anopheline Mosquitoes: An Application of
Bayesian Hierarchical Clustering of
Curves . . . . . . . . . . . . . . . . . 18--29
Raphael Gottardo and
Adrian E. Raftery and
Ka Yee Yeung and
Roger E. Bumgarner Quality Control and Robust Estimation
for cDNA Microarrays With Replicates . . 30--40
Jianhua Hu and
Fred A. Wright and
Fei Zou Estimation of Expression Indexes for
Oligonucleotide Arrays Using the
Singular Value Decomposition . . . . . . 41--50
Michael G. Hudgens and
M. Elizabeth Halloran Causal Vaccine Effects on Binary
Postinfection Outcomes . . . . . . . . . 51--64
Bin Nan and
Xihong Lin and
Lynda D. Lisabeth and
Siobán D. Harlow Piecewise Constant Cross-Ratio
Estimation for Association of Age at a
Marker Event and Age at Menopause . . . 65--77
Diane Lambert and
Chuanhai Liu Adaptive Thresholds . . . . . . . . . . 78--88
Diane Lambert and
Chuanhai Liu Adaptive Thresholds: Monitoring Streams
of Network Counts . . . . . . . . . . . 78--88
D. Y. Lin and
D. Zeng and
Chiara Sabatti and
Glen A. Satten and
Andrew S. Allen and
Michael P. Epstein and
Nilanjan Chatterjee and
Christine Spinka and
Jinbo Chen and
Raymond J. Carroll and
Jung-Ying Tzeng and
Kathryn Roeder and
Hongzhe Li and
D. Y. Lin and
D. Zeng Likelihood-Based Inference on Haplotype
Effects in Genetic Association Studies
[with Comment] . . . . . . . . . . . . . 89--104
Chiara Sabatti Comment: Likelihood-Based Inference on
Haplotype Effects in Genetic Association
Studies . . . . . . . . . . . . . . . . 104--106
Glen A. Satten and
Andrew S. Allen and
Michael P. Epstein Comment: Likelihood-Based Inference on
Haplotype Effects in Genetic Association
Studies . . . . . . . . . . . . . . . . 107--108
Nilanjan Chatterjee and
Christine Spinka and
Jinbo Chen and
Raymond J. Carroll Comment: Likelihood-Based Inference on
Haplotype Effects in Genetic Association
Studies . . . . . . . . . . . . . . . . 108--111
Jung-Ying Tzeng and
Kathryn Roeder Comment: Likelihood-Based Inference on
Haplotype Effects in Genetic Association
Studies . . . . . . . . . . . . . . . . 111--114
Hongzhe Li Comment: Likelihood-Based Inference on
Haplotype Effects in Genetic Association
Studies . . . . . . . . . . . . . . . . 114--115
D. Y. Lin and
D. Zeng Rejoinder: Likelihood-Based Inference on
Haplotype Effects in Genetic Association
Studies . . . . . . . . . . . . . . . . 116--118
Eric Bair and
Trevor Hastie and
Debashis Paul and
Robert Tibshirani Prediction by Supervised Principal
Components . . . . . . . . . . . . . . . 119--137
Peter L. Bartlett and
Michael I. Jordan and
Jon D. McAuliffe Convexity, Classification, and Risk
Bounds . . . . . . . . . . . . . . . . . 138--156
George Casella and
Elías Moreno Objective Bayesian Variable Selection 157--167
Adrian E. Raftery and
Nema Dean Variable Selection for Model-Based
Clustering . . . . . . . . . . . . . . . 168--178
J. E. Griffin and
M. F. J. Steel Order-Based Dependent Dirichlet
Processes . . . . . . . . . . . . . . . 179--194
Kani Chen and
Zhezhen Jin Partial Linear Regression Models for
Clustered Data . . . . . . . . . . . . . 195--204
Zhaohui Su and
Shie-Shien Yang A Note on Lack-of-Fit Tests for Linear
Models Without Replication . . . . . . . 205--210
David B. Hitchcock and
George Casella and
James G. Booth Improved Estimation of Dissimilarities
by Presmoothing Functional Data . . . . 211--222
Richard A. Davis and
Thomas C. M. Lee and
Gabriel A. Rodriguez-Yam Structural Break Estimation for
Nonstationary Time Series Models . . . . 223--239
Gabriel Chandler and
Wolfgang Polonik Discrimination of Locally Stationary
Time Series Based on the Excess Mass
Functional . . . . . . . . . . . . . . . 240--253
Jan Hannig and
Hari Iyer and
Paul Patterson Fiducial Generalized Confidence
Intervals . . . . . . . . . . . . . . . 254--269
Inmaculada B. Aban and
Mark M. Meerschaert and
Anna K. Panorska Parameter Estimation for the Truncated
Pareto Distribution . . . . . . . . . . 270--277
Fulvio De Santis Sample Size Determination for Robust
Bayesian Analysis . . . . . . . . . . . 278--291
Samuel Copt and
Maria-Pia Victoria-Feser High-Breakdown Inference for Mixed
Linear Models . . . . . . . . . . . . . 292--300
Jiming Jiang and
P. Lahiri Estimation of Finite Population Domain
Means: a Model-Assisted Empirical Best
Prediction Approach . . . . . . . . . . 301--311
Jae Kwang Kim and
Alfredo Navarro and
Wayne A. Fuller Replication Variance Estimation for
Two-Phase Stratified Sampling . . . . . 312--320
Jihong Chen and
Xiaoming Huo Distribution of the Length of the
Longest Significance Run on a Bernoulli
Net and Its Applications . . . . . . . . 321--331
Pedro Puig and
Jordi Valero Count Data Distributions: Some
Characterizations with Applications . . 332--340
Edsel A. Peña and
Elizabeth H. Slate Global Validation of Linear Model
Assumptions . . . . . . . . . . . . . . 341--354
Peng Zhang and
Xiaogang Wang and
Peter X.-K. Song Clustering Categorical Data Based on
Distance Vectors . . . . . . . . . . . . 355--367
Dong Han and
Fugee Tsung A Reference-Free Cuscore Chart for
Dynamic Mean Change Detection and a
Unified Framework for Charting
Performance Comparison . . . . . . . . . 368--386
Anonymous Book Reviews . . . . . . . . . . . . . . 387--387
Anja Sturm Book Review: \booktitleThe Theory of
Measures and Integration, by Eric M.
Vestrup . . . . . . . . . . . . . . . . 388--388
Jun Yan Book Review: \booktitleGaussian Markov
Random Fields: Theory and Applications,
by Harvard Rue; Leonhard Held . . . . . 388--389
Jun Zhu Book Review: \booktitleStatistical
Methods for Spatial Data Analysis, by
Oliver Schabenberger; Carol A. Gotway 389--390
Alexander J. McNeil Book Review: \booktitleMultivariate $t$
Distributions and Their Applications, by
Samuel Kotz; Saralees Nadarajah . . . . 390--391
Judith Rousseau Book Review: \booktitleProbability
Matching Priors: Higher Order
Asymptotics, by Gauri Sankar Datta;
Rahul Mukerjee . . . . . . . . . . . . . 391--391
Athanasios Micheas Book Review: \booktitleConstrained
Statistical Inference: Inequality,
Order, and Shape Restrictions, by Mervyn
J. Silvapulle; Pranab K. Sen . . . . . . 391--392
Donna Spiegelman Book Review: \booktitleMeasurement Error
and Misclassification in Statistics and
Epidemiology, by Paul Gustafson . . . . 392--393
W. Jim Zheng Book Review: \booktitleStatistical
Methods in Bioinformatics: An
Introduction, by Warren J. Ewens;
Gregory Grant . . . . . . . . . . . . . 393--393
Jay Devore Book Review: \booktitleA Modern
Introduction to Probability and
Statistics: Understanding Why and How,
by F. M. Dekking; C. Kraaikamp; H. P.
Lopuhaä; L. E. Meester . . . . . . . . . 393--394
Patricia Pepple Williamson Book Review: \booktitleMathematical
Statistics with Applications, by Asha
Seth Kapadia; Wenyaw Chan; Lemuel Moyé 394--395
Max Buot Book Review: \booktitleProbability and
Computing: Randomized Algorithms and
Probabilistic Analysis, by Michael
Mitzenmacher; Eli Upfal . . . . . . . . 395--396
Matthew Carlton Book Review: \booktitleProbability and
Probabilistic Reasoning for Electrical
Engineering, by Terrence L. Fine . . . . 396--396
Christine M. Anderson-Cook Book Review: \booktitleStatistical
Design of Experiments with Engineering
Applications, by Kamel Rekab; Muzaffar
Shaikh . . . . . . . . . . . . . . . . . 396--397
Alan F. Karr Book Review: \booktitleEvolution of
Biological Systems in Random Media:
Limit Theorems and Stability, by Anatoly
Swishchuk; Jianhong Wu . . . . . . . . . 397--397
Fabio Trojani Book Review: \booktitleSemiparametric
Regression for the Applied
Econometrician, by Adonis Yatchew . . . 397--398
Tathagata Banerjee Book Review: \booktitleExploring
Multivariate Data with the Forward
Search, by Anthony C. Atkinson; Marco
Riani; Andrea Cerioli . . . . . . . . . 398--398
Mario Paruggia Book review: \booktitleSensitivity
Analysis in Practice: A Guide to
Assessing Scientific Models . . . . . . 398--399
Mario Peruggia Book Review: \booktitleSensitivity
Analysis in Practice: A Guide to
Assessing Scientific Models, by Andrea
Saltelli; Stefano Tarantola; Francesca
Campolongo; Marco Ratto . . . . . . . . 398--399
Alan F. Karr Book Review: \booktitleExploratory Data
Mining and Data Cleaning, by Tamraparni
Dasu; Theodore Johnson . . . . . . . . . 399--399
Brian Jersky Book Review: \booktitleExploratory Data
Analysis with MATLAB, by Wendy L.
Martinez; Angel R. Martinez . . . . . . 399--400
Douglas Steinley Book Review: \booktitleCategorical Data
Analysis with SAS and SPSS Applications,
by Bayo Lawal; \booktitleCategorical
Data Analysis Using the SAS System, by
Maura E. Stokes; Charles S. Davis; Gary
G. Koch . . . . . . . . . . . . . . . . 400--400
Penelope S. Pooler Book Review: \booktitleHandling Missing
Data: Applications to Environmental
Analysis, by G. Latini; G. Passerini . . 400--401
Philip Dixon Book Review: \booktitleNondetects and
Data Analysis: Statistics for Censored
Environmental Data, by Dennis R. Helsel 401--401
Stephen E. Fienberg Book Review: \booktitleAnalysis of
Survey Data, by R. L. Chambers; C. J.
Skinner . . . . . . . . . . . . . . . . 401--402
Christine M. Anderson-Cook Book Review: \booktitleElementary
Statistical Quality Control, by John T.
Burr . . . . . . . . . . . . . . . . . . 402--402
Michael D. Larsen Book Review: \booktitleLongitudinal and
Panel Data: Analysis and Applications in
the Social Sciences, by Edward W. Frees 402--402
Joseph Cavanaugh Book Review: \booktitleHandbook of
Epidemiology, by W. Ahrens; I. Pigeot 402--403
Robert H. Lyles Book Review: \booktitleRegression
Methods in Biostatistics: Linear,
Logistic, Survival, and Repeated
Measures Models, by Eric Vittinghoff;
David V. Glidden; Stephen C. Shiboski;
Charles E. Mcculloch . . . . . . . . . . 403--404
William F. Rosenberger Book Review: \booktitleStatistical
Concepts and Applications in Clinical
Medicine, by John Aitchison; Jim W. Kay;
Ian J. Lauder . . . . . . . . . . . . . 404--404
Simon Davies Book Review: \booktitleEpidemiology:
Study Design and Data Analysis, by Mark
Woodward . . . . . . . . . . . . . . . . 404--405
Anonymous Telegraphic Reviews . . . . . . . . . . 405--405
Alan F. Karr and
Daniel B. Hall and
Christine M. Anderson-Cook and
Tapabrata Maiti Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 405--406
Anonymous Correction . . . . . . . . . . . . . . . 407--407
Lori E. Dodd and
Margaret Sullivan Pepe Corrections: Semi-Parametric Regression
for the Area under the Receiver
Operating Characteristic Curve . . . . . 407--407
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Tian Zheng and
Matthew J. Salganik and
Andrew Gelman How Many People Do You Know in Prison?:
Using Overdispersion in Count Data to
Estimate Social Structure in Networks 409--423
Jason Roy and
Don Alderson and
Joseph W. Hogan and
Karen T. Tashima Conditional Inference Methods for
Incomplete Poisson Data with Endogenous
Time-Varying Covariates: Emergency
Department Use among HIV-Infected Women 424--434
Niko A. Kaciroti and
Trivellore E. Raghunathan and
M. Anthony Schork and
Noreen M. Clark and
Molly Gong A Bayesian Approach for Clustered
Longitudinal Ordinal outcome with
Nonignorable Missing Data: Evaluation of
an Asthma Education Program . . . . . . 435--446
Guobing Lu and
A. E. Ades Assessing Evidence Inconsistency in
Mixed Treatment Comparisons . . . . . . 447--459
Steven D. Mark and
Hormuzd A. Katki Specifying and Implementing
Nonparametric and Semiparametric
Survival Estimators in Two-Stage
(Nested) Cohort Studies With Missing
Case Data . . . . . . . . . . . . . . . 460--471
Yousung Park and
Jai Won Choi and
Hee-Young Kim Forecasting Cause-Age Specific Mortality
Using Two Random Processes . . . . . . . 472--483
J. Hannig and
J. S. Marron Advanced Distribution Theory for SiZer 484--499
Yufeng Liu and
Xiaotong Shen Multicategory $ \psi $-Learning . . . . 500--509
Beth Ann Griffin and
Stephen Lagakos Analysis of Failure Time Data Arising
From Studies With Alternating Treatment
Schedules . . . . . . . . . . . . . . . 510--520
Gerhard Dikta and
Marsel Kvesic and
Christian Schmidt Bootstrap Approximations in Model Checks
for Binary Data . . . . . . . . . . . . 521--530
J. Carlos Escanciano Goodness-of-Fit Tests for Linear and
Nonlinear Time Series Models . . . . . . 531--541
Grace Chiu and
Richard Lockhart and
Richard Routledge Bent-Cable Regression Theory and
Applications . . . . . . . . . . . . . . 542--553
Xiaotong Shen and
Hsin-Cheng Huang Optimal Model Assessment, Selection, and
Combination . . . . . . . . . . . . . . 554--568
Miguel A. Fernández and
Cristina Rueda and
Bonifacio Salvador Incorporating Additional Information to
Normal Linear Discriminant Rules . . . . 569--577
Yi Lin and
Yongho Jeon Random Forests and Adaptive Nearest
Neighbors . . . . . . . . . . . . . . . 578--590
Yi Li and
Xihong Lin Semiparametric Normal Transformation
Models for Spatially Correlated Survival
Data . . . . . . . . . . . . . . . . . . 591--603
M. Blanca Palacios and
Mark F. J. Steel Non-Gaussian Bayesian Geostatistical
Modeling . . . . . . . . . . . . . . . . 604--618
Paul Kabaila and
Hannes Leeb On the Large-Sample Minimal Coverage
Probability of Confidence Intervals
After Model Selection . . . . . . . . . 619--629
Lixing Zhu and
Baiqi Miao and
Heng Peng On Sliced Inverse Regression With
High-Dimensional Covariates . . . . . . 630--643
Irini Moustaki and
Maria-Pia Victoria-Feser Bounded-Influence Robust Estimation in
Generalized Linear Latent Variable
Models . . . . . . . . . . . . . . . . . 644--653
Pedro Galeano and
Daniel Peña and
Ruey S. Tsay Outlier Detection in Multivariate Time
Series by Projection Pursuit . . . . . . 654--669
Donglin Zeng and
Guosheng Yin and
Joseph G. Ibrahim Semiparametric Transformation Models for
Survival Data With a Cure Fraction . . . 670--684
Siddhartha Chib and
Ivan Jeliazkov Inference in Semiparametric Dynamic
Models for Binary Longitudinal Data . . 685--700
Ryan T. Elmore and
Peter Hall and
Vladimir S. Troynikov Nonparametric Density Estimation From
Covariate Information . . . . . . . . . 701--711
Ruixue Liu and
Art B. Owen Estimating Mean Dimensionality of
Analysis of Variance Decompositions . . 712--721
Lan Wang and
Michael G. Akritas Testing for Covariate Effects in the
Fully Nonparametric Analysis of
Covariance Model . . . . . . . . . . . . 722--736
H. Finner and
K. Strassburger On $ \delta $-Equivalence With the Best
in $k$-Sample Models . . . . . . . . . . 737--746
Stefanie Biedermann and
Holger Dette and
Wei Zhu Optimal Designs for Dose--Response
Models With Restricted Design Spaces . . 747--759
Cyr Emile M'Lan and
Lawrence Joseph and
David B. Wolfson Bayesian Sample Size Determination for
Case-Control Studies . . . . . . . . . . 760--772
Billy Amzal and
Frédéric Y. Bois and
Eric Parent and
Christian P. Robert Bayesian-Optimal Design via Interacting
Particle Systems . . . . . . . . . . . . 773--785
Francesco Bartolucci and
Antonio Forcina A Class of Latent Marginal Models for
Capture--Recapture Data With Continuous
Covariates . . . . . . . . . . . . . . . 786--794
Chun-Lung Su and
Wesley O. Johnson Large-Sample Joint Posterior
Approximations When Full Conditionals
Are Approximately Normal: Application to
Generalized Linear Mixed Models . . . . 795--811
Willa W. Chen and
Clifford M. Hurvich and
Yi Lu On the Correlation Matrix of the
Discrete Fourier Transform and the Fast
Solution of Large Toeplitz Systems for
Long-Memory Time Series . . . . . . . . 812--822
José T. A. S. Ferreira and
Mark F. J. Steel A Constructive Representation of
Univariate Skewed Distributions . . . . 823--829
Kai-Sheng Song and
Ta-Hsin Li On Convergence and Bias Correction of a
Joint Estimation Algorithm for Multiple
Sinusoidal Frequencies . . . . . . . . . 830--842
Anonymous Book Reviews . . . . . . . . . . . . . . 843--843
Joseph Cavanaugh Book Review: \booktitleEncyclopedia of
Biostatistics, by Peter Armitage;
Theodore Colton . . . . . . . . . . . . 844--844
David H. Annis Book Review: \booktitleBayesian Models
for Categorical Data, by Peter Congdon 844--845
Damir Filipovic Book Review: \booktitleProbability: A
Graduate Course, by Allan Gut . . . . . 845--845
Marc Yor Book Review: \booktitleStochastic
Inequalities and Applications, by
Evariste Giné; Christian Houdré; David
Nualart . . . . . . . . . . . . . . . . 845--846
Peter C. Kiessler Book Review: \booktitleStatistical
Inference for Ergodic Diffusion
Processes, by Yury A. Kutoyants . . . . 846--846
Don Geman Book Review: \booktitleModeling and
Inverse Problems in Image Analysis, by
Bernard Chalmond . . . . . . . . . . . . 847--847
Andrew A. Neath Book Review: \booktitleTesting
Statistical Hypotheses, by E. L.
Lehmann; Joseph P. Romano . . . . . . . 847--848
Vladimir Dragalin Book Review: \booktitleInference for
Change Point and Post Change Means after
a CUSUM Test, by Yanhong Wu . . . . . . 848--848
Thomas E. Bradstreet Book Review: \booktitleThe Analysis of
Means: A Graphical Method for Comparing
Means, Rates, and Proportions, by Peter
R. Nelson; Peter S. Wludyka; Karen A. F.
Copeland . . . . . . . . . . . . . . . . 848--849
Eric Zivot Book Review: \booktitleStatistics and
Finance: An Introduction, by David
Ruppert . . . . . . . . . . . . . . . . 849--850
Wolfgang Breymann Book Review: \booktitleTheory of
Financial Risk and Derivative Pricing:
From Statistical Physics to Risk
Management, by Jean-Philippe Bouchaud;
Marc Potters . . . . . . . . . . . . . . 850--852
Edsel A. Peña Book Review: \booktitleNonparametric
Statistical Methods for Complete and
Censored Data, by M. M. Desu; D.
Raghavarao . . . . . . . . . . . . . . . 852--853
Kathleen F. Kerr Book Review: \booktitleDesign and
Analysis of Experiments, Vol. 2:
Advanced Experimental Design, by Klaus
Hinkelmann; Oscar Kempthorne . . . . . . 853--854
Pankaj K. Choudhary Book Review: \booktitleAnalyzing Rater
Agreement: Manifest Variable Methods, by
Alexander von Eye; Eun Young Mun . . . . 854--854
Mariano Ruiz Espejo and
Miguel Delgado Pineda Book Review: \booktitleEstimation in
Surveys with Nonresponse, by Carl-Erik
Särndal; Sixten Lundström . . . . . . . . 854--854
Samuel E. Buttrey Book Review: \booktitleClustering for
Data Mining: A Data Recovery Approach,
by Boris Mirkin . . . . . . . . . . . . 854--855
Webb Miller Book Review: \booktitleAn Introduction
to Bioinformatics Algorithms, by Neil C.
Jones; Pavel A. Pevzner . . . . . . . . 855--855
J. Wade Davis Book Review: \booktitleStatistics for
Microarrays: Design, Analysis and
Inference, by Ernst Wit; John McClure 855--856
Galin L. Jones Book Review: \booktitleComputational
Statistics, by Geof H. Givens; Jennifer
A. Hoeting . . . . . . . . . . . . . . . 856--857
Ross Ihaka Book Review: \booktitleDeveloping
Statistical Software in Fortran 95, by
David R. Lemmon; Joseph L. Schafer . . . 857--857
Ulric J. Lund Book Review: \booktitleAn R and
S-Plus\reg Companion to Multivariate
Analysis, by Brian S. Everitt . . . . . 857--858
Valerie L. Durkalski Book Review: \booktitleAnalysis of
Clinical Trials Using SAS\reg: A
Practical Guide, by Alex Dmitrienko;
Geert Molenberghs; Christy Chuang-Stein;
Walter Offen . . . . . . . . . . . . . . 858--858
Anonymous Telegraphic Reviews . . . . . . . . . . 859--859
Mario Peruggia and
Joseph Cavanaugh Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 859--859
Tereza Neocleous and
Karlien Vanden Branden and
Stephen Portnoy Correction to \em Censored Regression
Quantiles by S. Portnoy, \bf 98 (2003),
1001--1012 . . . . . . . . . . . . . . . 860--861
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Sibel Sirakaya Recidivism and Social Interactions . . . 863--877
Jeffrey Grogger and
Greg Ridgeway Testing for Racial Profiling in Traffic
Stops From Behind a Veil of Darkness . . 878--887
Daniel E. Ho and
Kosuke Imai Randomization Inference with Natural
Experiments: An Analysis of Ballot
Effects in the 2003 California Recall
Election . . . . . . . . . . . . . . . . 888--900
Guanglei Hong and
Stephen W. Raudenbush Evaluating Kindergarten Retention
Policy: a Case Study of Causal Inference
for Multilevel Observational Data . . . 901--910
John W. Robinson and
Scott L. Zeger and
Christopher B. Forrest A Hierarchical Multivariate Two-Part
Model for Profiling Providers' Effects
on Health Care Charges . . . . . . . . . 911--923
Nathaniel Schenker and
Trivellore E. Raghunathan and
Pei-Lu Chiu and
Diane M. Makuc and
Guangyu Zhang and
Alan J. Cohen Multiple Imputation of Missing Income
Data in the National Health Interview
Survey . . . . . . . . . . . . . . . . . 924--933
Min Zhang and
Robert L. Strawderman and
Mark E. Cowen and
Martin T. Wells Bayesian Inference for a Two-Part
Hierarchical Model: An Application to
Profiling Providers in Managed Health
Care . . . . . . . . . . . . . . . . . . 934--945
Simon Cauchemez and
Laura Temime and
Didier Guillemot and
Emmanuelle Varon and
Alain-Jacques Valleron and
Guy Thomas and
Pierre-Yves Boëlle Investigating Heterogeneity in
Pneumococcal Transmission: a Bayesian
MCMC Approach Applied to a Follow-up of
Schools . . . . . . . . . . . . . . . . 946--958
Juanjuan Fan and
Xiao-Gang Su and
Richard A. Levine and
Martha E. Nunn and
Michael LeBlanc Trees for Correlated Survival Data by
Goodness of Split, With Applications to
Tooth Prognosis . . . . . . . . . . . . 959--967
Tilmann Gneiting and
Kristin Larson and
Kenneth Westrick and
Marc G. Genton and
Eric Aldrich Calibrated Probabilistic Forecasting at
the Stateline Wind Energy Center: The
Regime-Switching Space: Time Method . . 968--979
Roger Koenker and
Zhijie Xiao Quantile Autoregression . . . . . . . . 980--990
Roger Koenker and
Zhijie Xiao and
Jianqing Fan and
Yingying Fan and
Marc Knight and
Marc Hallin and
Bas J. M. Werker and
Christian M. Hafner and
Oliver B. Linton and
P. M. Robinson Quantile Autoregression [with Comments,
Rejoinder] . . . . . . . . . . . . . . . 980--1006
Jianqing Fan and
Yingying Fan Comment: Quantile Autoregression . . . . 991--994
Keith Knight Comment: Quantile Autoregression . . . . 994--996
Marc Hallin and
Bas J. M. Werker Comment: Quantile Autoregression . . . . 996--998
Christian M. Hafner and
Oliver B. Linton Comment: Quantile Autoregression . . . . 998--1001
P. M. Robinson Comment: Quantile Autoregression . . . . 1001--1002
Roger Koenker and
Zhijie Xiao Rejoinder: Quantile Autoregression . . . 1002--1006
Hans-Georg Müller and
Ulrich Stadtmüller and
Fang Yao Functional Variance Processes . . . . . 1007--1018
Sharon Lohr and
J. N. K. Rao Estimation in Multiple-Frame Surveys . . 1019--1030
A. S. Hedayat and
John Stufken and
Min Yang Optimal and Efficient Crossover Designs
When Subject Effects Are Random . . . . 1031--1038
Shun-Yi Chen and
Bernard Harris On Lower Tolerance Limits With Accurate
Coverage Probabilities for the Normal
Random Effects Model . . . . . . . . . . 1039--1049
Chu-In Charles Lee and
Jianan Peng and
Lin Liu Statistical Inference for the Difference
Between the Best Treatment Mean and a
Control Mean . . . . . . . . . . . . . . 1050--1058
Sòren Tolver Jensen and
Jesper Madsen Estimation in Linear Models Based on
Observations With Unknown and Possibly
Unequal Scaling . . . . . . . . . . . . 1059--1064
Andrea Hennerfeind and
Andreas Brezger and
Ludwig Fahrmeir Geoadditive Survival Models . . . . . . 1065--1075
Christopher M. Quale and
Mark J. van der Laan and
James R. Robins Locally Efficient Estimation With
Bivariate Right-Censored Data . . . . . 1076--1084
Limin Peng and
Jason P. Fine Rank Estimation of Accelerated Lifetime
Models With Dependent Censoring . . . . 1085--1093
Lutz Dümbgen and
Sandra Freitag-Wolf and
Geurt Jongbloed Estimating a Unimodal Distribution From
Interval-Censored Data . . . . . . . . . 1094--1106
Michael A. Fligner and
Steven N. MacEachern Nonparametric Two-Sample Methods for
Ranked-Set Sample Data . . . . . . . . . 1107--1118
Finbarr O'Sullivan and
Kingshuk Roy Choudhury A Statistical Measure of Regularity for
the Study of Wind-Generated Wave Field
Images . . . . . . . . . . . . . . . . . 1119--1131
Michael Goldstein and
Jonathan Rougier Bayes Linear Calibrated Prediction for
Complex Systems . . . . . . . . . . . . 1132--1143
Kjell Nygren and
Lan Ma Nygren Likelihood Subgradient Densities . . . . 1144--1156
Nils Lid Hjort and
Fredrik A. Dahl and
Gunnhildur Högnadóttir Steinbakk Post-Processing Posterior Predictive $p$
Values . . . . . . . . . . . . . . . . . 1157--1174
Subharup Guha and
Steven N. MacEachern Generalized Poststratification and
Importance Sampling for Subsampled
Markov Chain Monte Carlo Estimation . . 1175--1184
Stephen M. S. Lee and
M. C. Pun On m out of n Bootstrapping for
Nonstandard $M$-Estimation With Nuisance
Parameters . . . . . . . . . . . . . . . 1185--1197
Matías Salibián-Barrera and
Stefan Van Aelst and
Gert Willems Principal Components Analysis Based on
Multivariate MM Estimators With Fast and
Robust Bootstrap . . . . . . . . . . . . 1198--1211
Lijian Yang and
Byeong U. Park and
Lan Xue and
Wolfgang Härdle Estimation and Testing for Varying
Coefficients in Additive Models With
Marginal Integration . . . . . . . . . . 1212--1227
Xiaohong Chen and
Yanqin Fan and
Viktor Tsyrennikov Efficient Estimation of Semiparametric
Multivariate Copula Models . . . . . . . 1228--1240
Mohamed Yusuf Hassan and
Keh-Shin Lii Modeling Marked Point Processes via
Bivariate Mixture Transition
Distribution Models . . . . . . . . . . 1241--1252
Yong Kong Distribution of Runs and Longest Runs: a
New Generating Function Approach . . . . 1253--1263
Chung-Ming Kuan and
Wei-Ming Lee Robust $M$ Tests Without Consistent
Estimation of the Asymptotic Covariance
Matrix . . . . . . . . . . . . . . . . . 1264--1275
Andrea Rotnitzky and
David Faraggi and
Enrique Schisterman Doubly Robust Estimation of the Area
Under the Receiver-Operating
Characteristic Curve in the Presence of
Verification Bias . . . . . . . . . . . 1276--1288
Martin Kulldorff Tests of Spatial Randomness Adjusted for
an Inhomogeneity: a General Framework 1289--1305
Anonymous Book Reviews . . . . . . . . . . . . . . 1306--1306
John Williamson Book Review: \booktitleModels for
Discrete Longitudinal Data, by Geert
Molenberghs; Geert Verbeke . . . . . . . 1307--1307
John M. Neuhaus Book Review: \booktitleFixed Effects
Regression Methods for Longitudinal Data
Using SAS, by Paul D. Allison . . . . . 1308--1308
Paul Speckman Book Review: \booktitleNonparametric and
Semiparametric Models, by Wolfgang
Härdle; Marlene Müller; Stefan Sperlich;
Axel Werwatz . . . . . . . . . . . . . . 1308--1309
Rosario Dell' Aquila Book Review: \booktitleGeneralized
Method of Moments, by Alastair R. Hall 1309--1310
Rosario Dell'Aquila Book review: \booktitleGeneralized
Method of Moments . . . . . . . . . . . 1309--1310
James G. Booth Book review: \booktitleAnalysis of
Variance for Random Models: Theory,
Methods, Applications, and Data
Analysis, Vol. 1: Balanced Data,
Analysis of Variance for Random Models:
Theory, Methods, Applications, and Data
Analysis, Vol. 2: Unbalanced Data., by
Hardeo Sahai; Mario Miguel Ojeda . . . . 1310--1310
Sarah M. Nusser Book Review: \booktitleSurvey
Methodology, by Robert M. Groves; Floyd
J. Fowler, Jr.; Mick P. Couper; James M.
Lepkowski; Eleanor Singer; Roger
Tourangeau . . . . . . . . . . . . . . . 1310--1311
Christopher K. Wikle Book Review: \booktitleEnvironmental
Statistics: Methods and Applications, by
Vic Barnett . . . . . . . . . . . . . . 1311--1312
Stephan R. Sain Book Review: \booktitleAnalysis and
Modelling of Spatial Environmental Data,
by Mikhail Kanevski; Michel Maignan . . 1312--1312
Marek Kimmel Book Review: \booktitleStatistical
Methods in Molecular Evolution, by
Rasmus Nielsen . . . . . . . . . . . . . 1312--1313
Malay Ghosh Book Review: \booktitleBayesian
Nonparametrics via Neural Networks, by
Herbert K. H. Lee . . . . . . . . . . . 1313--1313
Thomas Otter Book Review: \booktitleContemporary
Bayesian Econometrics and Statistics, by
John Geweke . . . . . . . . . . . . . . 1313--1314
Christopher Genovese Book Review: \booktitleMultivariate
Bayesian Statistics: Models for Source
Separation and Signal Unmixing, by
Daniel B. Rowe . . . . . . . . . . . . . 1314--1315
N. H. Bingham Book Review: \booktitleFinancial
Modelling with Jump Processes, by Rama
Cont; Peter Tankov . . . . . . . . . . . 1315--1316
Hanspeter Schmidli Book Review: \booktitleInsurance Risk
and Ruin, by David C. M. Dickson . . . . 1316--1316
John P. Klein Book Review: \booktitleFlowgraph Models
for Multistate Time-to-Event Data, by
Aparna V. Huzurbazar . . . . . . . . . . 1316--1317
Alan F. Karr Book Review: \booktitleRandom Graphs for
Statistical Pattern Recognition, by
David J. Marchette . . . . . . . . . . . 1317--1317
Rudolf H. Riedi Book Review: \booktitleAn Introduction
to Statistical Signal Processing, by
Robert M. Gray; Lee D. Davisson . . . . 1317--1317
Richard J. Cleary Book Review: \booktitleApplied Data
Mining: Statistical Methods for Business
and Industry, by Paolo Giudici . . . . . 1317--1318
Anonymous Telegraphic Reviews . . . . . . . . . . 1318--1320
J. Wade Davis and
Alan F. Karr and
Joseph Cavanaugh and
Richard J. Cleary and
Robert Lund Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 1318--1320
Anonymous Correction . . . . . . . . . . . . . . . 1321--1321
Anonymous Correction: Inference after Model
Selection . . . . . . . . . . . . . . . 1321--1321
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Ming Yuan and
Christina Kendziorski and
Hongzhe Li and
Fangxin Hong and
Dan Nettleton Hidden Markov Models for Microarray Time
Course Data in Multiple Biological
Conditions [with Discussions, Rejoinder] 1323--1332
Hongzhe Li and
Fangxin Hong Discussion . . . . . . . . . . . . . . . 1332--1334
Dan Nettleton Discussion . . . . . . . . . . . . . . . 1334--1338
Ming Yuan and
Christina Kendziorski Rejoinder: Discussion . . . . . . . . . 1338--1340
Swati Biswas and
Shili Lin A Bayesian Approach for Incorporating
Variable Rates of Heterogeneity in
Linkage Analysis . . . . . . . . . . . . 1341--1351
Jeffrey S. Morris and
Cassandra Arroyo and
Brent A. Coull and
Louise M. Ryan and
Richard Herrick and
Steven L. Gortmaker Using Wavelet-Based Functional Mixed
Models to Characterize Population
Heterogeneity in Accelerometer Profiles:
a Case Study . . . . . . . . . . . . . . 1352--1364
E. Andrés Houseman and
Brent A. Coull and
James P. Shine A Nonstationary Negative Binomial Time
Series with Time-Dependent Covariates:
\em Enterococcus Counts in Boston Harbor 1365--1376
Jessica Tressou Nonparametric Modeling of the Left
Censorship of Analytical Data in Food
Risk Assessment . . . . . . . . . . . . 1377--1386
Danny Pfeffermann and
Richard Tiller Small-Area Estimation With State--Space
Models Subject to Benchmark Constraints 1387--1397
Michael E. Sobel What Do Randomized Studies of Housing
Mobility Demonstrate?: Causal Inference
in the Face of Interference . . . . . . 1398--1407
Christopher R. Genovese and
Larry Wasserman Exceedance Control of the False
Discovery Proportion . . . . . . . . . . 1408--1417
Hui Zou The Adaptive Lasso and Its Oracle
Properties . . . . . . . . . . . . . . . 1418--1429
Bowei Xi and
George Michailidis and
Vijayan N. Nair Estimating Network Loss Rates Using
Active Tomography . . . . . . . . . . . 1430--1448
Nils Lid Hjort and
Gerda Claeskens Focused Information Criteria and Model
Averaging for the Cox Hazard Regression
Model . . . . . . . . . . . . . . . . . 1449--1464
Yanyuan Ma and
Raymond J. Carroll Locally Efficient Estimators for
Semiparametric Models With Measurement
Error . . . . . . . . . . . . . . . . . 1465--1474
Mi-Ja Woo and
T. N. Sriram Robust Estimation of Mixture Complexity 1475--1486
Sudipto Banerjee and
Alan E. Gelfand Bayesian Wombling . . . . . . . . . . . 1487--1501
Sudipto Banerjee and
Alan E. Gelfand Bayesian Wombling: Curvilinear Gradient
Assessment Under Spatial Process Models 1487--1501
Yongtao Guan A Composite Likelihood Approach in
Fitting Spatial Point Process Models . . 1502--1512
Michael G. Akritas and
Efi S. Antoniou and
Jouni Kuha Nonparametric Analysis of Factorial
Designs with Random Missingness:
Bivariate Data . . . . . . . . . . . . . 1513--1526
Dorin Drignei and
Max D. Morris Empirical Bayesian Analysis for Computer
Experiments Involving Finite-Difference
Codes . . . . . . . . . . . . . . . . . 1527--1536
Galin L. Jones and
Murali Haran and
Brian S. Caffo and
Ronald Neath Fixed-Width Output Analysis for Markov
Chain Monte Carlo . . . . . . . . . . . 1537--1547
Timothy E. Hanson Inference for Mixtures of Finite Polya
Tree Models . . . . . . . . . . . . . . 1548--1565
Yee Whye Teh and
Michael I. Jordan and
Matthew J. Beal and
David M. Blei Hierarchical Dirichlet Processes . . . . 1566--1581
Silvia Centanni and
Marco Minozzo A Monte Carlo Approach to Filtering for
a Class of Marked Doubly Stochastic
Poisson Processes . . . . . . . . . . . 1582--1597
Prabir Burman and
Robert H. Shumway Generalized Exponential Predictors for
Time Series Forecasting . . . . . . . . 1598--1606
Zhiqiang Tan Regression and Weighting Methods for
Causal Inference Using Instrumental
Variables . . . . . . . . . . . . . . . 1607--1618
Zhiqiang Tan A Distributional Approach for Causal
Inference Using Propensity Scores . . . 1619--1637
Yu Zhu and
Peng Zeng Fourier Methods for Estimating the
Central Subspace and the Central Mean
Subspace in Regression . . . . . . . . . 1638--1651
Barry C. Arnold and
Enrique Castillo and
José María Sarabia Families of Multivariate Distributions
Involving the Rosenblatt Construction 1652--1662
Chang Xuan Mao Inference on the Number of Species
Through Geometric Lower Bounds . . . . . 1663--1670
Lenka Mach and
Philip T. Reiss and
Ioana \cSchiopu-Kratina Optimizing the Expected Overlap of
Survey Samples via the Northwest Corner
Rule . . . . . . . . . . . . . . . . . . 1671--1679
Wilson W. Lu and
J. Michael Brick and
Randy R. Sitter Algorithms for Constructing Combined
Strata Variance Estimators . . . . . . . 1680--1692
Xinlei Wang and
Lynne Stokes and
Johan Lim and
Min Chen Concomitants of Multivariate Order
Statistics With Application to Judgment
Poststratification . . . . . . . . . . . 1693--1704
Nozer D. Singpurwalla The Hazard Potential . . . . . . . . . . 1705--1717
Nozer D. Singpurwalla The Hazard Potential: Introduction and
Overview . . . . . . . . . . . . . . . . 1705--1717
Anonymous Book Reviews . . . . . . . . . . . . . . 1718--1718
Steven N. MacEachern Book Review: \booktitleIntroduction to
Statistical Throught, by Michael Lavine 1719--1719
Thomas E. Bradstreet Book Review: \booktitleThe Grammar of
Graphics, by Leland Wilkinson . . . . . 1719--1720
Terry Speed Book Review: \booktitleStatistics for
Experimenters: Design, Innovation, and
Discovery, by George E. P. Box; J.
Stuart Hunter; William G. Hunter . . . . 1720--1721
David H. Annis Book review: \booktitleKendall's
Advanced Theory of Statistics, Vol. 1:
Distribution Theory, Kendall's Advanced
Theory of Statistics, Vol. 2A: Classical
Inference and the Linear Model, by Alan
Stuart; J. Keith Ord; Steven F. Arnold 1721--1721
Willis A. Jensen Book Review: \booktitleIntroduction to
Nonparametric Regression, by Kunio
Takezawa . . . . . . . . . . . . . . . . 1721--1722
Yoonkyung Lee Book Review: \booktitleSemiparametric
Regression, by David Ruppert; M. P.
Wand; R. J. Carroll . . . . . . . . . . 1722--1723
Jana Jure\vcková Book Review: \booktitleQuantile
Regression, by Roger Koenker . . . . . . 1723--1723
Mary Kathryn Cowles Book Review: \booktitleGeneralized,
Linear, and Mixed Models, by Charles E.
McCulloch; Shayle R. Searle . . . . . . 1724--1724
Yazhen Wang Book Review: \booktitleImage Processing
and Jump Regression Analysis, by Peihua
Qiu . . . . . . . . . . . . . . . . . . 1724--1724
Edward F. Vonesh Book Review: \booktitleMixed Models:
Theory and Applications, by Eugene
Demidenko . . . . . . . . . . . . . . . 1724--1726
Zhigang Zhang Book Review: \booktitleModeling
Longitudinal Data, by Robert E. Weiss 1726--1727
Jeffrey Douglas Book Review: \booktitleLinear Models for
Optimal Test Design, by Wim J. Van Der
Linden . . . . . . . . . . . . . . . . . 1727--1727
Russell V. Lenth Book Review: \booktitleApplied Adaptive
Statistical Methods: Tests of
Significance and Confidence Intervals,
by Thomas W. O'Gorman . . . . . . . . . 1727--1728
N. H. Bingham Book Review: \booktitleFunctional
Analysis for Probability and Stochastic
Processes: An Introduction, by Adam
Bobrowski . . . . . . . . . . . . . . . 1728--1728
Jeff M. Allen Book Review: \booktitleSAS for Monte
Carlo Studies: A Guide for Quantitative
Researchers, by Xitao Fan; Ákos
Fels\Hovályi; Stephen A. Sivo; Sean C.
Keenan . . . . . . . . . . . . . . . . . 1728--1729
Monica Pratesi and
Nicola Salvati Book Review: \booktitleMissing Data and
Small-Area Estimation: Modern Analytical
Equipment for the Survey Statistician,
by Nicholas T. Longford . . . . . . . . 1729--1730
M. Last Book Review: \booktitleKernel Methods
for Pattern Analysis, by John
Shawe-Taylor; Nello Cristianini . . . . 1730--1730
Ryan E. Wiegand Book Review: \booktitleIntroductory
Econometrics: Using Monte Carlo
Simulation With Microsoft Excel, by
Humberto Barreto; Frank M. Howland . . . 1730--1731
Wai F. Chiu Book Review: \booktitleBinomiai Models
in Finance, by John Van Der Hoek; Robert
J. Elliott . . . . . . . . . . . . . . . 1731--1731
Christine M. Anderson-Cook Book Review: \booktitleQuantitative Risk
Management: Concepts, Techniques, and
Tools, by Alexander J. McNeil; Rudiger
Frey; Paul Embrechts . . . . . . . . . . 1731--1732
Ginger M. Davis Book Review: \booktitleForecasting:
Practice and Process for Demand
Management, by Hans Levenbach; James P.
Cleary . . . . . . . . . . . . . . . . . 1732--1732
David H. Annis Book Review: \booktitleBayesian
Statistics and Marketing, by Peter
Rossi; Greg Allenby; Rob McCulloch . . . 1732--1733
Daniel B. Hall Book Review: \booktitleStatistical
Modelling in Glim4, by Murray Aitkin;
Brian Francis; John Hinde . . . . . . . 1733--1734
Debajyoti Sinha Book Review: \booktitleStatistical
Monitoring of Clinical Trials:
Fundamentals for Investigators, by
Lemuel A. Moyé . . . . . . . . . . . . . 1734--1734
Charles Annis Book Review: \booktitleHandbook of
Exponential and Related Distributions
for Engineers and Scientists, by Nabendu
Pal; Chun Jin; Wooi K. Lim . . . . . . . 1734--1735
Anonymous Telegraphic Reviews . . . . . . . . . . 1735--1736
Daniel B. Hall and
Debajyoti Sinha and
Michael Sherman and
Tapabrata Maiti Book Review: \booktitleTelegraphic
Reviews . . . . . . . . . . . . . . . . 1735--1736
Anonymous 2006 Editorial Collaborators . . . . . . 1737--1741
Anonymous Back Matter . . . . . . . . . . . . . . ??
Anonymous Front Matter . . . . . . . . . . . . . . ??
Anonymous Volume Information . . . . . . . . . . . ??
Fritz Scheuren The Pro Bono Statistician . . . . . . . 1--6
Kaushik Ghosh and
Ram C. Tiwari Prediction of U.S. Cancer Mortality
Counts Using Semiparametric Bayesian
Techniques . . . . . . . . . . . . . . . 7--15
Siem Jan Koopman and
Marius Ooms and
M. Angeles Carnero Periodic Seasonal Reg-ARFIMA--GARCH
Models for Daily Electricity Spot Prices 16--27
David A. Harville and
Emmanuel Yashchin Cost (or Price) Forecasting in the Face
of Technological Advance . . . . . . . . 28--43
Brian J. Reich and
James S. Hodges and
Bradley P. Carlin Spatial Analyses of Periodontal Data
Using Conditionally Autoregressive
Priors Having Two Classes of Neighbor
Relations . . . . . . . . . . . . . . . 44--55
Chunfang Jin and
Jason P. Fine and
Brian S. Yandell A Unified Semiparametric Framework for
Quantitative Trait Loci Analyses, With
Application to Spike Phenotypes . . . . 56--67
Melvin J. Hinich and
Apostolos Serletis Episodic Nonlinear Event Detection in
the Canadian Exchange Rate . . . . . . . 68--74
Paul R. Rosenbaum and
Richard N. Ross and
Jeffrey H. Silber Minimum Distance Matched Sampling With
Fine Balance in an Observational Study
of Treatment for Ovarian Cancer . . . . 75--83
P. Bortot and
S. G. Coles and
S. A. Sisson Inference for Stereological Extremes . . 84--92
Bradley Efron Correlation and Large-Scale Simultaneous
Significance Testing . . . . . . . . . . 93--103
Huixia Wang and
Xuming He Detecting Differential Expressions in
GeneChip Microarray Studies . . . . . . 104--112
Tiejun Tong and
Yuedong Wang Optimal Shrinkage Estimation of
Variances With Applications to
Microarray Data Analysis . . . . . . . . 113--122
Arnab Maity and
Yanyuan Ma and
Raymond J. Carroll Efficient Estimation of Population-Level
Summaries in General Semiparametric
Regression Models . . . . . . . . . . . 123--139
Olivia Grigg and
David Spiegelhalter A Simple Risk-Adjusted Exponentially
Weighted Moving Average . . . . . . . . 140--152
Ying Qing Chen Additive Expectancy Regression . . . . . 153--166
Donglin Zeng and
D. Y. Lin Semiparametric Transformation Models
With Random Effects for Recurrent Events 167--180
W. Liu and
A. J. Hayter Minimum Area Confidence Set Optimality
for Confidence Bands in Simple Linear
Regression . . . . . . . . . . . . . . . 181--190
Paul R. Rosenbaum Interference Between Units in Randomized
Experiments . . . . . . . . . . . . . . 191--200
Rachel MacKay Altman Mixed Hidden Markov Models . . . . . . . 201--210
Leilei Zeng and
Richard J. Cook Transition Models for Multivariate
Longitudinal Binary Data . . . . . . . . 211--223
Yevgen Tymofyeyev and
William F. Rosenberger and
Feifang Hu Implementing Optimal Allocation in
Sequential Binary Response Experiments 224--234
Yujun Wu and
Dennis D. Boos and
Leonard A. Stefanski Controlling Variable Selection by the
Addition of Pseudovariables . . . . . . 235--243
Prasad A. Naik and
Peide Shi and
Chih-Ling Tsai Extending the Akaike Information
Criterion to Mixture Regression Models 244--254
Youjuan Li and
Yufeng Liu and
Ji Zhu Quantile Regression in Reproducing
Kernel Hilbert Spaces . . . . . . . . . 255--268
Yunming Mu and
Xuming He Power Transformation Toward a Linear
Regression Quantile . . . . . . . . . . 269--279
M. Ivette Gomes and
Dinis Pestana A Sturdy Reduced-Bias Extreme Quantile
(VaR) Estimator . . . . . . . . . . . . 280--292
Ming-Yen Cheng and
Liang Peng Variance Reduction in Multiparameter
Likelihood Models . . . . . . . . . . . 293--304
Faming Liang and
Chuanhai Liu and
Raymond J. Carroll Stochastic Approximation in Monte Carlo
Computation . . . . . . . . . . . . . . 305--320
Montserrat Fuentes Approximate Likelihood for Large
Irregularly Spaced Spatial Data . . . . 321--331
Winfried Stute and
Liugen Xue and
Lixing Zhu Empirical Likelihood Inference in
Nonlinear Errors-in-Covariables Models
With Validation Data . . . . . . . . . . 332--346
Lan Wang and
Annie Qu Robust Tests in Regression Models With
Omnibus Alternatives and Bounded
Influence . . . . . . . . . . . . . . . 347--358
Tilmann Gneiting and
Adrian E. Raftery Strictly Proper Scoring Rules,
Prediction, and Estimation . . . . . . . 359--378
Anonymous Book Reviews . . . . . . . . . . . . . . 379--379
William (Matt) Briggs Book review: \booktitleStatistical
Methods in the Atmospheric Sciences . . 380--380
Juri Hinz Book review: \booktitleWeather
Derivative Valuation: The
Meteorological, Statistical, Financial
and Mathematical Foundations . . . . . . 380--380
Paul F. Green Book review: \booktitleStatistics for
Fission Track Analysis . . . . . . . . . 380--381
John Fricks Book review: \booktitleStochastic
Processes and Models . . . . . . . . . . 381--381
Robert Lund Book review: \booktitleStatistical
Analysis of Stochastic Processes in Time 382--382
Johanna Neslehova Book review: \booktitleFractal-Based
Point Processes . . . . . . . . . . . . 382--383
James E. Gentle Book review: \booktitleVertical Density
Representations and Its Applications . . 383--383
Alan F. Karr Book review: \booktitlePartial
Identification of Probability
Distributions . . . . . . . . . . . . . 383--383
Kary L. Myers Book review: \booktitleA Kalman Filter
Primer . . . . . . . . . . . . . . . . . 384--384
John H. Walker Book review: \booktitleIntroduction to
Regression Modeling . . . . . . . . . . 384--385
Lane A. Eubank Book review: \booktitleIntroduction to
Linear Models and Statistical Inference 385--386
Christine M. Anderson-Cook Book review: \booktitleFunctional
Approach to Optimal Experimental Design 386--386
Alan F. Karr Book review: \booktitleStatistical
Matching: A Frequentist Theory,
Practical Applications and Alternative
Bayesian Approaches . . . . . . . . . . 386--386
Glenn Shafer Book review: \booktitleScientific
Reasoning: The Bayesian Approach . . . . 387--387
George Woodworth Book review: \booktitleModeling in
Medical Decision Making: A Bayesian
Approach . . . . . . . . . . . . . . . . 387--388
Paul Havlak Book review: \booktitleComputational
Genome Analysis: An Introduction . . . . 388--388
J. Wade Davis Book review: \booktitleBioinformatics
and Computational Biology Solutions
Using R and Bioconductor . . . . . . . . 388--389
Greg Ridgeway Book review: \booktitleAll of
Nonparametric Statistics . . . . . . . . 389--389
Jane L. Harvill Book review: \booktitleAnalysis of
Integrated and Co-Integrated Time Series
With R . . . . . . . . . . . . . . . . . 389--390
David Brownstone Book review: \booktitleApplied Choice
Analysis: A Primer . . . . . . . . . . . 390--390
Anonymous Telegraphic Reviews . . . . . . . . . . 391--393
Stuart G. Baker Letter to the Editor . . . . . . . . . . 394--394
Sallie Keller-McNulty From Data to Policy . . . . . . . . . . 395--399
Jean D. Opsomer and
F. Jay Breidt and
Gretchen G. Moisen and
Göran Kauermann Model-Assisted Estimation of Forest
Resources With Generalized Additive
Models . . . . . . . . . . . . . . . . . 400--409
David Ruppert Comment: Model-Assisted Estimation of
Forest Resources With Generalized
Additive Models . . . . . . . . . . . . 409--411
Mary C. Christman Comment: Model-Assisted Estimation of
Forest Resources With Generalized
Additive Models . . . . . . . . . . . . 411--412
Roderick J. Little Comment: Model-Assisted Estimation of
Forest Resources With Generalized
Additive Models . . . . . . . . . . . . 412--415
Jean D. Opsomer and
F. Jay Breidt and
Gretchen G. Moisen and
Göran Kauermann Rejoinder: Model-Assisted Estimation of
Forest Resources With Generalized
Additive Models . . . . . . . . . . . . 415--416
Michael Smith and
Ludwig Fahrmeir Spatial Bayesian Variable Selection With
Application to Functional Magnetic
Resonance Imaging . . . . . . . . . . . 417--431
Brent Kreider and
John V. Pepper Disability and Employment . . . . . . . 432--441
F. Dubois Bowman Spatiotemporal Models for Region of
Interest Analyses of Functional
Neuroimaging Data . . . . . . . . . . . 442--453
Kristin N. Javaras and
Brian D. Ripley An ``Unfolding'' Latent Variable Model
for Likert Attitude Data . . . . . . . . 454--463
Jeffrey S. Spence and
Patrick S. Carmack and
Richard F. Gunst and
William R. Schucany and
Wayne A. Woodward and
Robert W. Haley Accounting for Spatial Dependence in the
Analysis of SPECT Brain Imaging Data . . 464--473
Trivellore E. Raghunathan and
Dawei Xie and
Nathaniel Schenker and
Van L. Parsons and
William W. Davis and
Kevin W. Dodd and
Eric J. Feuer Combining Information From Two Surveys
to Estimate County-Level Prevalence
Rates of Cancer Risk Factors and
Screening . . . . . . . . . . . . . . . 474--486
Peter H. Westfall and
Randall D. Tobias Multiple Testing of General Contrasts 487--494
Jiashun Jin and
T. Tony Cai Estimating the Null and the Proportion
of Nonnull Effects in Large-Scale
Multiple Comparisons . . . . . . . . . . 495--506
Chris Hans and
Adrian Dobra and
Mike West Shotgun Stochastic Search for ``Large
$p$'' Regression . . . . . . . . . . . . 507--516
David B. Dahl and
Michael A. Newton Multiple Hypothesis Testing by
Clustering Treatment Effects . . . . . . 517--526
Hajime Uno and
Tianxi Cai and
Lu Tian and
L. J. Wei Evaluating Prediction Rules for $t$-Year
Survivors With Censored Regression
Models . . . . . . . . . . . . . . . . . 527--537
Jianwen Cai and
Jianqing Fan and
Jiancheng Jiang and
Haibo Zhou Partially Linear Hazard Regression for
Multivariate Survival Data . . . . . . . 538--551
Glenn Heller Smoothed Rank Regression With Censored
Data . . . . . . . . . . . . . . . . . . 552--559
Freda Cooner and
Sudipto Banerjee and
Bradley P. Carlin and
Debajyoti Sinha Flexible Cure Rate Modeling Under Latent
Activation Schemes . . . . . . . . . . . 560--572
Bryan E. Shepherd and
Peter B. Gilbert and
Thomas Lumley Sensitivity Analyses Comparing
Time-to-Event Outcomes Existing Only in
a Subset Selected Postrandomization . . 573--582
Lifeng Wang and
Xiaotong Shen On $ L_1 $-Norm Multiclass Support
Vector Machines . . . . . . . . . . . . 583--594
Hock Peng Chan and
Nancy Ruonan Zhang Scan Statistics With Weighted
Observations . . . . . . . . . . . . . . 595--602
Marc Hallin and
Roman Li\vska Determining the Number of Factors in the
General Dynamic Factor Model . . . . . . 603--617
Jianqing Fan and
Yingying Fan and
Jiancheng Jiang Dynamic Integration of Time- and
State-Domain Methods for Volatility
Estimation . . . . . . . . . . . . . . . 618--631
Jianqing Fan and
Tao Huang and
Runze Li Analysis of Longitudinal Data With
Semiparametric Estimation of Covariance
Function . . . . . . . . . . . . . . . . 632--641
Liugen Xue and
Lixing Zhu Empirical Likelihood for a Varying
Coefficient Model With Longitudinal Data 642--654
J. P. Morgan Optimal Incomplete Block Designs . . . . 655--663
Yan Li and
P. Lahiri Robust Model-Based and Model-Assisted
Predictors of the Finite Population
Total . . . . . . . . . . . . . . . . . 664--673
Peter D. Hoff Model Averaging and Dimension Selection
for the Singular Value Decomposition . . 674--685
Pranab K. Sen and
Ming-Tien Tsai and
Yuh-Shan Jou High-Dimension, Low-Sample Size
Perspectives in Constrained Statistical
Inference . . . . . . . . . . . . . . . 686--694
G. J. A. Amaral and
I. L. Dryden and
Andrew T. A. Wood Pivotal Bootstrap Methods for $k$-Sample
Problems in Directional Statistics and
Shape Analysis . . . . . . . . . . . . . 695--707
Jesse Frey and
Omer Ozturk and
Jayant V. Deshpande Nonparametric Tests for Perfect Judgment
Rankings . . . . . . . . . . . . . . . . 708--717
Ilya Gluhovsky and
Alexander Gluhovsky Smooth Location-Dependent Bandwidth
Selection for Local Polynomial
Regression . . . . . . . . . . . . . . . 718--725
Hae Kyung Im and
Michael L. Stein and
Zhengyuan Zhu Semiparametric Estimation of Spectral
Density With Irregular Observations . . 726--735
Bo Li and
Marc G. Genton and
Michael Sherman A Nonparametric Assessment of Properties
of Space--Time Covariance Functions . . 736--744
Peihua Qiu Jump Surface Estimation, Edge Detection,
and Image Restoration . . . . . . . . . 745--756
Anonymous Book Reviews . . . . . . . . . . . . . . 757--757
Brian Caffo Book review: \booktitleA First Course in
Monte Carlo . . . . . . . . . . . . . . 758--758
Alexandra Dias Book review: \booktitleSimulation
Techniques in Financial Risk Management 758--759
M. Last Book review: \booktitlePattern
Recognition Algorithms for Data Mining 759--759
David E. Tyler Book review: \booktitleRobust
Statistical Methods with R . . . . . . . 759--760
Christine M. Anderson-Cook Book review: \booktitleGeneralized
Additive Models: An Introduction With R 760--761
Ciprian M. Crainiceanu Book review: \booktitleNonparametric
Regression Methods for Longitudinal Data
Analysis. Mixed-effects Modeling
Approaches . . . . . . . . . . . . . . . 761--761
William E. Strawderman Book review: \booktitleTheory of
Preliminary Test and Stein-Type
Estimation With Applications . . . . . . 762--762
Thomas R. Boucher Book review: \booktitleTest Equating,
Scaling, and Linking: Methods and
Practices . . . . . . . . . . . . . . . 762--763
Tore Schweder Book review: \booktitleAdvanced Distance
Sampling: Estimating Abundance of
Biological Populations . . . . . . . . . 763--764
James G. Booth Book review: \booktitleExact Analysis of
Discrete Data . . . . . . . . . . . . . 764--765
Christine M. Anderson-Cook Book review: \booktitleA Modern Theory
of Factorial Design . . . . . . . . . . 765--765
Thorsten Rheinlander Book review: \booktitleIntroductory
Stochastic Analysis for Finance and
Insurance . . . . . . . . . . . . . . . 765--766
Filip Lindskog Book review: \booktitleMeasures,
Integrals and Martingales . . . . . . . 766--766
Mitchell Watnik Book review: \booktitleAdvanced
Statistics From an Elementary Point of
View . . . . . . . . . . . . . . . . . . 766--767
Webster West Book review: \booktitleApplied
Statistics for Engineers and Scientists 767--767
Debajyoti Sinha Book review: \booktitleBiostatistics: a
Bayesian Introduction . . . . . . . . . 767--768
Anonymous Telegraphic Reviews . . . . . . . . . . 768--769
Ana Grohovac Rappold and
Michael Lavine and
Susan Lozier Subjective Likelihood for the Assessment
of Trends in the Ocean's Mixed-Layer
Depth . . . . . . . . . . . . . . . . . 771--780
Robert N. Miller Comment: Subjective Likelihood for the
Assessment of Trends in the Ocean's
Mixed-Layer Depth . . . . . . . . . . . 780--781
Joseph B. Kadane Comment: Subjective Likelihood for the
Assessment of Trends in the Ocean's
Mixed-Layer Depth . . . . . . . . . . . 781--782
Robert L. Wolpert Comment: Subjective Likelihood for the
Assessment of Trends in the Ocean's
Mixed-Layer Depth . . . . . . . . . . . 782--784
Ana Grohovac Rappold and
Michael Lavine and
Susan Lozier Rejoinder: Subjective Likelihood for the
Assessment of Trends in the Ocean's
Mixed-Layer Depth . . . . . . . . . . . 785--787
Wendy Meiring Oscillations and Time Trends in
Stratospheric Ozone Levels . . . . . . . 788--802
F. Jay Breidt and
Nan-Jung Hsu and
Stephen Ogle Semiparametric Mixed Models for
Increment-Averaged Data With Application
to Carbon Sequestration in Agricultural
Soils . . . . . . . . . . . . . . . . . 803--812
Andrew Gelman and
Jeffrey Fagan and
Alex Kiss An Analysis of the New York City Police
Department's ``Stop-and-Frisk'' Policy
in the Context of Claims of Racial Bias 813--823
Daniel Cooley and
Douglas Nychka and
Philippe Naveau Bayesian Spatial Modeling of Extreme
Precipitation Return Levels . . . . . . 824--840
Ta-Hsin Li A Statistical Framework of Optimal
Workload Consolidation With Application
to Capacity Planning for On-Demand
Computing . . . . . . . . . . . . . . . 841--855
Brent A. Johnson and
Amy H. Herring and
Joseph G. Ibrahim and
Anna Maria Siega-Riz Structured Measurement Error in
Nutritional Epidemiology . . . . . . . . 856--866
Mayetri Gupta and
Joseph G. Ibrahim Variable Selection in Regression Mixture
Modeling for the Discovery of Gene
Regulatory Networks . . . . . . . . . . 867--880
Lu Tian and
Jun S. Liu and
L. J. Wei Implementation of Estimating
Function-Based Inference Procedures With
Markov Chain Monte Carlo Samplers . . . 881--888
Xuming He and
Feifang Hu Comment: Implementation of Estimating
Function-Based Inference Procedures With
Markov Chain Monte Carlo Samplers . . . 889--890
John D. Kalbfleisch and
Wenyu Jiang Comment: Implementation of Estimating
Function-Based Inference Procedures With
Markov Chain Monte Carlo Samplers . . . 890--893
Joseph G. Ibrahim and
Hongtu Zhu Comment: Implementation of Estimating
Function-Based Inference Procedures With
Markov Chain Monte Carlo Samplers . . . 893--893
Michael R. Kosorok and
Jason P. Fine Comment: Implementation of Estimating
Function-Based Inference Procedures With
Markov Chain Monte Carlo Samplers . . . 896--897
Lu Tian and
Jun Liu and
L. J. Wei Rejoinder: Implementation of Estimating
Function-Based Inference Procedures With
Markov Chain Monte Carlo Samplers . . . 897--900
Wenguang Sun and
T. Tony Cai Oracle and Adaptive Compound Decision
Rules for False Discovery Rate Control 901--912
Jonathan E. Taylor and
Keith J. Worsley Detecting Sparse Signals in Random
Fields, With an Application to Brain
Mapping . . . . . . . . . . . . . . . . 913--928
Jianxin Shi and
David Siegmund and
Benny Yakir Importance Sampling for Estimating $p$
Values in Linkage Analysis . . . . . . . 929--937
Marc Hallin and
Abdessamad Saidi Optimal Tests of Noncorrelation Between
Multivariate Time Series . . . . . . . . 938--951
Duchwan Ryu and
Debajyoti Sinha and
Bani Mallick and
Stuart R. Lipsitz and
Steven E. Lipshultz Longitudinal Studies With
Outcome-Dependent Follow-up . . . . . . 952--961
Xiaohui Wang and
Shubhankar Ray and
Bani K. Mallick Bayesian Curve Classification Using
Wavelets . . . . . . . . . . . . . . . . 962--973
Yichao Wu and
Yufeng Liu Robust Truncated Hinge Loss Support
Vector Machines . . . . . . . . . . . . 974--983
Philip T. Reiss and
R. Todd Ogden Functional Principal Component
Regression and Functional Partial Least
Squares . . . . . . . . . . . . . . . . 984--996
Bing Li and
Shaoli Wang On Directional Regression for Dimension
Reduction . . . . . . . . . . . . . . . 997--1008
Hsin-Cheng Huang and
Chun-Shu Chen Optimal Geostatistical Model Selection 1009--1024
Abbas Khalili and
Jiahua Chen Variable Selection in Finite Mixture of
Regression Models . . . . . . . . . . . 1025--1038
Hansheng Wang and
Chenlei Leng Unified LASSO Estimation by Least
Squares Approximation . . . . . . . . . 1039--1048
Dylan S. Small Sensitivity Analysis for Instrumental
Variables Regression With
Overidentifying Restrictions . . . . . . 1049--1058
Maengseok Noh and
Youngjo Lee Robust Modeling for Inference From
Generalized Linear Model Classes . . . . 1059--1072
Anonymous Book Reviews . . . . . . . . . . . . . . 1073--1073
Joseph Cavanaugh Book review: \booktitleEncyclopedia of
Statistical Sciences . . . . . . . . . . 1074--1075
Vincent J. Carey Book review: \booktitleLongitudinal Data
Analysis . . . . . . . . . . . . . . . . 1075--1075
Anil K. Ghosh Book review: \booktitleApplied MANOVA
and Discriminant Analysis . . . . . . . 1075--1076
Fritz Scheuren Book review: \booktitleStatistical
Matching: Theory and Practice . . . . . 1076--1077
Mark Greenwood Book review: \booktitleNonparametric
Functional Data Analysis: Theory and
Practice . . . . . . . . . . . . . . . . 1077--1077
Martin Schlather Book review: \booktitlePoint Process
Theory and Applications: Marked Point
and Piecewise Deterministic Processes 1077--1078
Peter C. Kiessler Book review: \booktitleMeasure Theory
and Probability Theory . . . . . . . . . 1078--1078
Charles M. Goldie Book review: \booktitleProbabilistic
Symmetries and Invariance Principles . . 1078--1079
Robert Lund Book review: \booktitleTime Series
Analysis and Its Applications: With R
Examples . . . . . . . . . . . . . . . . 1079--1079
Mary Kathryn Cowles Book review: \booktitleAutomatic
Nonuniform Random Variate Generation . . 1079--1080
Bryan Manly Book review: \booktitleUsing Statistical
Methods for Water Quality Management:
Issues, Problems, and Solutions . . . . 1080--1080
Anonymous Telegraphic Reviews . . . . . . . . . . 1080--1083
Hongtu Zhu and
Heping Zhang and
Joseph G. Ibrahim and
Bradley S. Peterson Statistical Analysis of Diffusion
Tensors in Diffusion-Weighted Magnetic
Resonance Imaging Data . . . . . . . . . 1085--1102
Armin Schwartzman Comment: Statistical Analysis of
Diffusion Tensors in Diffusion-Weighted
Magnetic Resonance Imaging Data . . . . 1102--1102
Nicole A. Lazar Comment: Statistical Analysis of
Diffusion Tensors in Diffusion-Weighted
Magnetic Resonance Imaging Data . . . . 1105--1105
Hongtu Zhu and
Heping Zhang and
Joseph G. Ibrahim and
Bradley S. Peterson Rejoinder: Statistical Analysis of
Diffusion Tensors in Diffusion-Weighted
Magnetic Resonance Imaging Data . . . . 1110--1110
David Kaziska and
Anuj Srivastava Gait-Based Human Recognition by
Classification of Cyclostationary
Processes on Nonlinear Shape Manifolds 1114--1124
Kanti V. Mardia Comment: Gait-Based Human Recognition by
Classification of Cyclostationary
Processes on Nonlinear Shape Manifolds 1124--1124
Rama Chellappa and
Ashok Veeraraghavan Comment: Gait-Based Human Recognition by
Classification of Cyclostationary
Processes on Nonlinear Shape Manifolds 1126--1127
David M. Kaziska and
Anuj Srivastava Rejoinder: Gait-Based Human Recognition
by Classification of Cyclostationary
Processes on Nonlinear Shape Manifolds 1127--1127
Peihua Qiu and
Jingran Sun Local Smoothing Image Segmentation for
Spotted Microarray Images . . . . . . . 1129--1144
Peter Bouman and
Xiao-Li Meng and
James Dignam and
Vanja Duki\'c A Multiresolution Hazard Model for
Multicenter Survival Studies . . . . . . 1145--1157
Bo Cai and
David B. Dunson Bayesian Multivariate Isotonic
Regression Splines . . . . . . . . . . . 1158--1171
Andrew J. Patton and
Allan Timmermann Testing Forecast Optimality Under
Unknown Loss . . . . . . . . . . . . . . 1172--1184
Jonathan Weinberg and
Lawrence D. Brown and
Jonathan R. Stroud Bayesian Forecasting of an Inhomogeneous
Poisson Process With Applications to
Call Center Data . . . . . . . . . . . . 1185--1198
Kosuke Imai and
Samir Soneji On the Estimation of Disability-Free
Life Expectancy . . . . . . . . . . . . 1199--1211
Shyamal D. Peddada and
Gregg E. Dinse and
Grace E. Kissling Incorporating Historical Control Data
When Comparing Tumor Incidence Rates . . 1212--1220
Sujit K. Sahu and
Alan E. Gelfand and
David M. Holland High-Resolution Space--Time Ozone
Modeling for Assessing Trends . . . . . 1221--1234
Yu Shen and
Jing Qin and
Joseph P. Costantino Inference of Tamoxifen's Effects on
Prevention of Breast Cancer From a
Randomized Controlled Trial . . . . . . 1235--1244
Hanwen Huang and
Fei Zou and
Fred A. Wright Bayesian Analysis of Frequency of
Allelic Loss Data . . . . . . . . . . . 1245--1253
Micha Mandel and
Susan A. Gauthier and
Charles R. G. Guttmann and
Howard L. Weiner and
Rebecca A. Betensky Estimating Time to Event From
Longitudinal Categorical Data . . . . . 1254--1266
J. S. Marron and
Michael J. Todd and
Jeongyoun Ahn Distance-Weighted Discrimination . . . . 1267--1271
Yoav Benjamini and
Ruth Heller False Discovery Rates for Spatial
Signals . . . . . . . . . . . . . . . . 1272--1281
Jianqing Fan and
Peter Hall and
Qiwei Yao To How Many Simultaneous Hypothesis
Tests Can Normal, Student's $t$ or
Bootstrap Calibration Be Applied? . . . 1282--1288
Jafar A. Khan and
Stefan Van Aelst and
Ruben H. Zamar Robust Linear Model Selection Based on
Least Angle Regression . . . . . . . . . 1289--1299
Roland Fried and
Jochen Einbeck and
Ursula Gather Weighted Repeated Median Smoothing and
Filtering . . . . . . . . . . . . . . . 1300--1308
Qingxia Chen and
Donglin Zeng and
Joseph G. Ibrahim Sieve Maximum Likelihood Estimation for
Regression Models With Covariates
Missing at Random . . . . . . . . . . . 1309--1317
Piotr Fryzlewicz Unbalanced Haar Technique for
Nonparametric Function Estimation . . . 1318--1327
Tatyana Krivobokova and
Göran Kauermann A Note on Penalized Spline Smoothing
With Correlated Errors . . . . . . . . . 1328--1337
Robertas Gabrys and
Piotr Kokoszka Portmanteau Test of Independence for
Functional Observations . . . . . . . . 1338--1348
Jianqing Fan and
Yazhen Wang Multi-Scale Jump and Volatility Analysis
for High-Frequency Financial Data . . . 1349--1362
Christian Genest and
Kilani Ghoudi and
Bruno Rémillard Rank-Based Extensions of the Brock,
Dechert, and Scheinkman Test . . . . . . 1363--1376
Yongtao Guan and
Ji Meng Loh A Thinned Block Bootstrap Variance
Estimation Procedure for Inhomogeneous
Spatial Point Patterns . . . . . . . . . 1377--1386
Donglin Zeng and
D. Y. Lin Efficient Estimation for the Accelerated
Failure Time Model . . . . . . . . . . . 1387--1396
Jianguo Sun and
Liuquan Sun and
Dandan Liu Regression Analysis of Longitudinal Data
in the Presence of Informative
Observation and Censoring Times . . . . 1397--1406
Yu Cheng and
Jason P. Fine and
Michael R. Kosorok Nonparametric Association Analysis of
Bivariate Competing-Risks Data . . . . . 1407--1415
Aurore Delaigle and
Alexander Meister Nonparametric Regression Estimation in
the Heteroscedastic Errors-in-Variables
Problem . . . . . . . . . . . . . . . . 1416--1426
Danny Pfeffermann and
Michail Sverchkov Small-Area Estimation Under Informative
Probability Sampling of Areas and Within
the Selected Areas . . . . . . . . . . . 1427--1439
Steven N. MacEachern and
Youlan Rao and
Chunjie Wu A Robust-Likelihood Cumulative Sum Chart 1440--1447
Ying Kuen Cheung Sequential Implementation of Stepwise
Procedures for Identifying the Maximum
Tolerated Dose . . . . . . . . . . . . . 1448--1461
Jerome P. Reiter and
Trivellore E. Raghunathan The Multiple Adaptations of Multiple
Imputation . . . . . . . . . . . . . . . 1462--1471
Anonymous Book Reviews . . . . . . . . . . . . . . 1472--1472
Daniel B. Hall Book review: \booktitleModels for
Intensive Longitudinal Data . . . . . . 1473--1473
Do-Hwan Park Book review: \booktitleThe Statistical
Analysis of Interval-Censored Failure
Time Data . . . . . . . . . . . . . . . 1473--1474
Tathagata Banerjee Book review: \booktitleIntroductory
Statistical Inference . . . . . . . . . 1474--1474
Debajyoti Sinha Book review: \booktitleDynamic
Regression Models for Survival Data . . 1474--1474
J. Wade Davis Book review: \booktitleDNA, Words and
Models: Statistics of Exceptional Words 1475--1475
Christian Genest Book review: \booktitleReliability and
Risk: A Bayesian Perspective . . . . . . 1475--1475
Louis N. Ntasin Book review: \booktitleOperational
Risks: Modeling Analytics . . . . . . . 1475--1476
Peter C. Kiessler Book review: \booktitleProbabilistic
Applications of Tauberian Theorems . . . 1476--1476
Daren B. H. Cline Book review: \booktitleStochastic
Processes in Science, Engineering, and
Finance . . . . . . . . . . . . . . . . 1476--1477
Colin Gallagher Book review: \booktitleExtending the
Linear Model With R: Generalized Linear,
Mixed Effects and Nonparametric
Regression Models . . . . . . . . . . . 1477--1477
Mevin B. Hooten Book review: \booktitleStatistical
Analysis of Environmental Space--time
Processes . . . . . . . . . . . . . . . 1477--1477
M. Last Book review: \booktitleAnalysis of
Phylogenetics and Evolution With R.
Emmanuel Paradis . . . . . . . . . . . . 1477--1478
Angelo J. Canty Book review: \booktitleBootstrap
Techniques for Signal Processing . . . . 1478--1479
Christopher Assaid Book review: \booktitleThe Theory of
Response-Adaptive Randomization in
Clinical Trials . . . . . . . . . . . . 1479--1479
Alexander J. McNeil Book review: \booktitleLatent Curve
Models: A Structural Equation Approach 1479--1481
Ben Alamar Book review: \booktitleSocial Choice
With Partial Knowledge of Treatment
Response . . . . . . . . . . . . . . . . 1481--1481
Anonymous Telegraphic Reviews . . . . . . . . . . 1481--1484
Witold Bednorz and
Krzysztof Latuszy\'nski A Few Remarks on \em ``Fixed-Width
Output Analysis for Markov Chain Monte
Carlo'' by Jones et al . . . . . . . . . 1485--1486
Anonymous 2007 Editorial Collaborators . . . . . . 1487--1491
S. L. Zabell On Student's 1908 Article \em ``The
Probable Error of a Mean'' . . . . . . . 1--7
Stephen M. Stigler Comment: On Student's 1908 Article \em
``The Probable Error of a Mean'' . . . . 7--8
John Aldrich Comment: On Student's 1908 Article \em
``The Probable Error of a Mean'' . . . . 8--11
A. W. F. Edwards Comment: On Student's 1908 Article \em
``The Probable Error of a Mean'' . . . . 11--13
Eugene Seneta Comment: On Student's 1908 Article \em
``The Probable Error of a Mean'' . . . . 13--15
Persi Diaconis and
Erich Lehmann Comment: On Student's 1908 Article \em
``The Probable Error of a Mean'' . . . . 16--19
S. L. Zabell Rejoinder: On Student's 1908 Article \em
``The Probable Error of a Mean'' . . . . 19--20
Ciprian M. Crainiceanu and
Peter J. Diggle and
Barry Rowlingson Bivariate Binomial Spatial Modeling of
\em Loa loa Prevalence in Tropical
Africa . . . . . . . . . . . . . . . . . 21--37
Christopher J. Paciorek Comment: Bivariate Binomial Spatial
Modeling of \em Loa loa Prevalence in
Tropical Africa . . . . . . . . . . . . 37--40
David B. Dunson Comment: Bivariate Binomial Spatial
Modeling of \em Loa loa Prevalence in
Tropical Africa . . . . . . . . . . . . 40--41
Madeleine C. Thomson Comment: Bivariate Binomial Spatial
Modeling of \em Loa loa Prevalence in
Tropical Africa . . . . . . . . . . . . 42--43
Ciprian M. Crainiceanu and
Peter J. Diggle and
Barry Rowlingson Rejoinder: Bivariate Binomial Spatial
Modeling of \em Loa loa Prevalence in
Tropical Africa . . . . . . . . . . . . 43--43
Heping Zhang and
Yuanqing Ye and
Peter Diggle and
Jian Shi Joint Modeling of Time Series Measures
and Recurrent Events and Analysis of the
Effects of Air Quality on Respiratory
Symptoms . . . . . . . . . . . . . . . . 48--60
Paul S. Albert and
Lori E. Dodd On Estimating Diagnostic Accuracy From
Studies With Multiple Raters and Partial
Gold Standard Evaluation . . . . . . . . 61--73
Robert A. Connolly and
Richard J. Rendleman, Jr. Skill, Luck, and Streaky Play on the PGA
Tour . . . . . . . . . . . . . . . . . . 74--88
Chiara Sabatti and
Kenneth Lange Bayesian Gaussian Mixture Models for
High-Density Genotyping Arrays . . . . . 89--100
Hui Jin and
Donald B. Rubin Principal Stratification for Causal
Inference With Extended Partial
Compliance . . . . . . . . . . . . . . . 101--111
Yufeng Tu and
Michael O. Ball and
Wolfgang S. Jank Estimating Flight Departure Delay
Distributions --- a Statistical Approach
With Long-Term Trend and Short-Term
Pattern . . . . . . . . . . . . . . . . 112--125
Arthur van Soest and
Michael Hurd A Test for Anchoring and Yea-Saying in
Experimental Consumption Data . . . . . 126--136
Catherine A. Calder and
Christopher H. Holloman and
Steven M. Bortnick and
Warren Strauss and
Michele Morara Relating Ambient Particulate Matter
Concentration Levels to Mortality Using
an Exposure Simulator . . . . . . . . . 137--148
Christel Faes and
Helena Geys and
Geert Molenberghs and
Marc Aerts and
Carmen Cadarso-Suárez and
Carlos Acuña and
Mónica Cano A Flexible Method to Measure Synchrony
in Neuronal Firing . . . . . . . . . . . 149--161
Jun Zhu and
Jakob G. Rasmussen and
Jesper Mòller and
Brian H. Aukema and
Kenneth F. Raffa Spatial-Temporal Modeling of Forest Gaps
Generated by Colonization From Below-
and Above-Ground Bark Beetle Species . . 162--177
Menggang Yu and
Jeremy M. G. Taylor and
Howard M. Sandler Individual Prediction in Prostate Cancer
Studies Using a Joint Longitudinal
Survival--Cure Model . . . . . . . . . . 178--187
Shane T. Jensen and
Jun S. Liu Bayesian Clustering of Transcription
Factor Binding Motifs . . . . . . . . . 188--200
Haiqun Lin and
Ziding Feng and
Yan Yu and
Yingye Zheng and
Narayan Shivapurkar and
Adi F. Gazdar Application of Multidimensional
Selective Item Response Regression Model
for Studying Multiple Gene Methylation
in SV40 Oncogenic Pathways . . . . . . . 201--211
Dankmar Böhning and
Valentin Patilea A Capture--Recapture Approach for
Screening Using Two Diagnostic Tests
With Availability of Disease Status for
the Test Positives Only . . . . . . . . 212--221
Ollivier Hyrien and
Martin S. Zand A Mixture Model With Dependent
Observations for the Analysis of
CSFE-Labeling Experiments . . . . . . . 222--239
Paul R. Rosenbaum and
Jeffrey H. Silber Aberrant Effects of Treatment . . . . . 240--247
David R. Hunter and
Steven M. Goodreau and
Mark S. Handcock Goodness of Fit of Social Network Models 248--258
Lurdes Y. T. Inoue and
Ruth Etzioni and
Christopher Morrell and
Peter Müller Modeling Disease Progression With
Longitudinal Markers . . . . . . . . . . 259--270
Dylan S. Small and
Thomas R. Ten Have and
Paul R. Rosenbaum Randomization Inference in a
Group-Randomized Trial of Treatments for
Depression . . . . . . . . . . . . . . . 271--279
Aurore Delaigle and
Peter Hall Using SIMEX for Smoothing-Parameter
Choice in Errors-in-Variables Problems 280--287
Hovav A. Dror and
David M. Steinberg Sequential Experimental Designs for
Generalized Linear Models . . . . . . . 288--298
Martin Posch and
Andreas Futschik A Uniform Improvement of Bonferroni-Type
Tests by Sequential Tests . . . . . . . 299--308
Daniel Yekutieli Hierarchical False Discovery
Rate--Controlling Methodology . . . . . 309--316
David B. Dunson and
Ya Xue and
Lawrence Carin The Matrix Stick-Breaking Process . . . 317--327
Donatello Telesca and
Lurdes Y. T. Inoue Bayesian Hierarchical Curve Registration 328--339
David I. Warton Penalized Normal Likelihood and Ridge
Regularization of Correlation and
Covariance Matrices . . . . . . . . . . 340--349
Daniel J. Nordman and
Petru\cta C. Caragea Point and Interval Estimation of
Variogram Models Using Spatial Empirical
Likelihood . . . . . . . . . . . . . . . 350--361
Yingye Zheng and
Tianxi Cai and
Margaret S. Pepe and
Wayne C. Levy Time-Dependent Predictive Values of
Prognostic Biomarkers With Failure Time
Outcome . . . . . . . . . . . . . . . . 362--368
Jianwei Chen and
Hulin Wu Efficient Local Estimation for
Time-Varying Coefficients in
Deterministic Dynamic Models With
Applications to HIV-1 Dynamics . . . . . 369--384
Kenneth Rice Equivalence Between Conditional and
Random-Effects Likelihoods for
Pair-Matched Case-Control Studies . . . 385--396
Ying Wei An Approach to Multivariate
Covariate-Dependent Quantile Contours
With Application to Bivariate
Conditional Growth Charts . . . . . . . 397--409
Feng Liang and
Rui Paulo and
German Molina and
Merlise A. Clyde and
Jim O. Berger Mixtures of g Priors for Bayesian
Variable Selection . . . . . . . . . . . 410--423
Anonymous Book Reviews . . . . . . . . . . . . . . 424--424
Jane L. Harvill Book review: \booktitleEssentials of
Statistical Inference . . . . . . . . . 425--426
Christine M. Anderson-Cook Book review: \booktitleModern
Experimental Design . . . . . . . . . . 426--427
Daniel B. Hall Book review: \booktitleMeasurement Error
in Nonlinear Models: A Modern
Perspective . . . . . . . . . . . . . . 427--427
Gregory E. Gilbert Book review: \booktitleLinear Mixed
Models: A Practical Guide Using
Statistical Software . . . . . . . . . . 427--428
Ralf Münnich Book review: \booktitleSampling
Algorithms . . . . . . . . . . . . . . . 428--429
Songthip T. Ounpraseuth Book review: \booktitleGaussian
Processes for Machine Learning . . . . . 429--429
Yuhong Yang Book review: \booktitleElements of
Information Theory . . . . . . . . . . . 429--429
Maria Vlasiou Book review: \booktitleA Course on
Queueing Models . . . . . . . . . . . . 429--430
Peter C. Kiessler Book review: \booktitleStochastic
Switching Systems: Analysis and Design 430--430
Somesh Chattopadhyay and
Thomas Hammerstrom Book review: \booktitleStatistical
Monitoring of Clinical Trials: A Unified
Approach . . . . . . . . . . . . . . . . 430--431
Yuko Palesch Book review: \booktitleAdaptive Design
Methods in Clinical Trials . . . . . . . 431--431
Andreas Krause Book review: \booktitlePharmacometrics:
The Science of Quantitative Pharmacology 431--432
Rudy Guerra Book review: \booktitleLikelihood,
Bayesian and MCMC Methods in
Quantitative Genetics . . . . . . . . . 432--432
Jarrett J. Barber Book review: \booktitleBayesian Core: A
Practical Approach to Computational
Bayesian Statistics . . . . . . . . . . 432--433
Anonymous Telegraphic Reviews . . . . . . . . . . 433--436
Andrew Gelman and
Zaiying Huang Estimating Incumbency Advantage and Its
Variation, as an Example of a
Before--After Study . . . . . . . . . . 437--446
Jonathan N. Katz Comment: Estimating Incumbency Advantage
and Its Variation, as an Example of a
Before--After Study . . . . . . . . . . 446--448
James S. Hodges Comment: Estimating Incumbency Advantage
and Its Variation, as an Example of a
Before--After Study . . . . . . . . . . 448--449
Andrew Gelman Rejoinder: Estimating Incumbency
Advantage and Its Variation, as an
Example of a Before--After Study . . . . 449--451
Ralf Van Der Lans and
Rik Pieters and
Michel Wedel Eye-Movement Analysis of Search
Effectiveness . . . . . . . . . . . . . 452--461
Julia Y. Lin and
Thomas R. Ten Have and
Michael R. Elliott Longitudinal Nested Compliance Class
Model in the Presence of Time-Varying
Noncompliance . . . . . . . . . . . . . 462--473
Qi Long and
Roderick J. Little and
Xihong Lin Causal Inference in Hybrid Intervention
Trials Involving Treatment Choice . . . 474--484
Subharup Guha and
Yi Li and
Donna Neuberg Bayesian Hidden Markov Modeling of Array
CGH Data . . . . . . . . . . . . . . . . 485--497
Jun Yan and
Jason P. Fine Analysis of Episodic Data With
Application to Recurrent Pulmonary
Exacerbations in Cystic Fibrosis
Patients . . . . . . . . . . . . . . . . 498--510
Atsushi Inoue and
Lutz Kilian How Useful Is Bagging in Forecasting
Economic Time Series? A Case Study of
U.S. Consumer Price Inflation . . . . . 511--522
Arno\vst Komárek and
Emmanuel Lesaffre Bayesian Accelerated Failure Time Model
With Multivariate Doubly
Interval-Censored Data and Flexible
Distributional Assumptions . . . . . . . 523--533
David B. Dunson and
Amy H. Herring and
Stephanie M. Engel Bayesian Selection and Clustering of
Polymorphisms in Functionally Related
Genes . . . . . . . . . . . . . . . . . 534--546
Markus Frölich Statistical Treatment Choice . . . . . . 547--558
John Allen Logan and
Peter D. Hoff and
Michael A. Newton Two-Sided Estimation of Mate Preferences
for Similarities in Age, Education, and
Religion . . . . . . . . . . . . . . . . 559--569
Dave Higdon and
James Gattiker and
Brian Williams and
Maria Rightley Computer Model Calibration Using
High-Dimensional Output . . . . . . . . 570--583
Tao Shi and
Bin Yu and
Eugene E. Clothiaux and
Amy J. Braverman Daytime Arctic Cloud Detection Based on
Multi-Angle Satellite Data With Case
Studies . . . . . . . . . . . . . . . . 584--593
Tirthankar Dasgupta and
Christopher Ma and
V. Roshan Joseph and
Z. L. Wang and
C. F. Jeff Wu Statistical Modeling and Analysis for
Robust Synthesis of Nanostructures . . . 594--603
Herbert K. H. Lee and
Bruno Sansó and
Weining Zhou and
David M. Higdon Inference for a Proton Accelerator Using
Convolution Models . . . . . . . . . . . 604--613
Alejandro Veen and
Frederic P. Schoenberg Estimation of Space--Time Branching
Process Models in Seismology Using an
EM--Type Algorithm . . . . . . . . . . . 614--624
Ping Ma and
Wenxuan Zhong Penalized Clustering of Large-Scale
Functional Data With Multiple Covariates 625--636
Limin Peng and
Yijian Huang Survival Analysis With Quantile
Regression Models . . . . . . . . . . . 637--649
Minge Xie and
Douglas G. Simpson and
Raymond J. Carroll Semiparametric Analysis of Heterogeneous
Data Using Varying-Scale Generalized
Linear Models . . . . . . . . . . . . . 650--660
Remy Cottet and
Robert J. Kohn and
David J. Nott Variable Selection and Model Averaging
in Semiparametric Overdispersed
Generalized Linear Models . . . . . . . 661--671
Brent A. Johnson and
D. Y. Lin and
Donglin Zeng Penalized Estimating Functions and
Variable Selection in Semiparametric
Regression Models . . . . . . . . . . . 672--680
Trevor Park and
George Casella The Bayesian Lasso . . . . . . . . . . . 681--686
Pavel \vCí\'zek Robust and Efficient Adaptive Estimation
of Binary-Choice Regression Models . . . 687--696
Pedro César Álvarez-Esteban and
Eustasio del Barrio and
Juan Antonio Cuesta-Albertos and
Carlos Matrán Trimmed Comparison of Distributions . . 697--704
Gang Li and
Kefei Zhou A Unified Approach to Nonparametric
Comparison of Receiver Operating
Characteristic Curves for Longitudinal
and Clustered Data . . . . . . . . . . . 705--713
Wei Zhao and
Rongling Wu Wavelet-Based Nonparametric Functional
Mapping of Longitudinal Curves . . . . . 714--725
John Staudenmayer and
David Ruppert and
John P. Buonaccorsi Density Estimation in the Presence of
Heteroscedastic Measurement Error . . . 726--736
Pierre-Jérôme Bergeron and
Masoud Asgharian and
David B. Wolfson Covariate Bias Induced by Length-Biased
Sampling of Failure Times . . . . . . . 737--742
Yanyuan Ma and
Guosheng Yin Cure Rate Model With Mismeasured
Covariates Under Transformation . . . . 743--756
Ta-Hsin Li Laplace Periodogram for Time Series
Analysis . . . . . . . . . . . . . . . . 757--768
Yongtao Guan and
Rasmus Waagepetersen and
Colin M. Beale Second-Order Analysis of Inhomogeneous
Spatial Point Processes With
Proportional Intensity Functions . . . . 769--777
Byron Ellis and
Wing Hung Wong Learning Causal Bayesian Network
Structures From Experimental Data . . . 778--789
David A. van Dyk and
Taeyoung Park Partially Collapsed Gibbs Samplers . . . 790--796
Jing Qin and
Jun Shao and
Biao Zhang Efficient and Doubly Robust Imputation
for Covariate-Dependent Missing
Responses . . . . . . . . . . . . . . . 797--810
Hansheng Wang and
Yingcun Xia Sliced Regression for Dimension
Reduction . . . . . . . . . . . . . . . 811--821
Lexin Li and
Wenbin Lu Sufficient Dimension Reduction With
Missing Predictors . . . . . . . . . . . 822--831
Michael G. Hudgens and
M. Elizabeth Halloran Toward Causal Inference With
Interference . . . . . . . . . . . . . . 832--842
Yuping Dong and
A. S. Hedayat and
B. K. Sinha Surveillance Strategies for Detecting
Changepoint in Incidence Rate Based on
Exponentially Weighted Moving Average
Methods . . . . . . . . . . . . . . . . 843--853
Lidong E and
Jan Hannig and
Hari Iyer Fiducial Intervals for Variance
Components in an Unbalanced
Two-Component Normal Mixed Linear Model 854--865
Debajyoti Sinha and
Tapabrata Maiti and
Joseph G. Ibrahim and
Bichun Ouyang Current Methods for Recurrent Events
Data With Dependent Termination . . . . 866--878
Herman F. Senter Applied Linear Statistical Models . . . 880--880
M. Last Book review: \booktitleApplying
Statistics in the Courtroom: A New
Approach for Attorneys and Expert
Witnesses; The Expert: The Statistical
Analyst in Litigation . . . . . . . . . 880--881
Jerome Reiter Book review: \booktitleData Quality and
Record Linkage Techniques . . . . . . . 881--881
Dalene K. Stangl Book review: \booktitleEncyclopedia of
Statistics in Behavioral Science . . . . 881--882
Peter C. Kiessler Book review: \booktitleExtreme Value
Theory: An Introduction . . . . . . . . 882--883
C. Shane Reese Book review: \booktitleAn Introduction
to Bayesian Analysis: Theory and Methods 883--884
Peter C. Kiessler Book review: \booktitleAn Introduction
to Random Sets; Theory of Random Sets 884--884
Xin Yan Book review: \booktitleLinear Models: An
Integrated Approach . . . . . . . . . . 884--885
Michael Wolf Book review: \booktitleNonparametric
Econometrics: Theory and Practice . . . 885--886
Thomas Burr Book review: \booktitlePattern
Recognition and Machine Learning . . . . 886--887
Christine M. Anderson-Cook Book review: \booktitleReliability, Life
Testing, and the Prediction of Service
Lives for Engineers and Scientists . . . 887--888
Christine M. Anderson-Cook Book review: \booktitleResponse
Surfaces, Mixtures, and Ridge Analyses 888--888
David E. Tyler Book review: \booktitleRobust
Statistics: Theory and Methods . . . . . 888--889
Sharad D. Gore Book review: \booktitleSampling for
Natural Resource Monitoring . . . . . . 889--890
Samuel J. Frame Book review: \booktitleSimulation and
Monte Carlo: With Applications in
Finance and MCMC . . . . . . . . . . . . 890--891
Elamin H. Elbasha Book review: \booktitleStatistical
Analysis of Cost-Effectiveness Data . . 891--891
Anonymous Telegraphic Reviews . . . . . . . . . . 891--893
Albert C. Bemmaor and
Daniel Hoppe On Banerjee and Bhattacharyya (1976),
\em ``A Purchase Incidence Model With
Inverse Gaussian Interpurchase Times,''
Journal of the American Statistical
Association, \bf 71, 823--829 . . . . . 894--895
Anonymous Correction . . . . . . . . . . . . . . . 896--896
Edwin S. Iversen, Jr. and
Giovanni Parmigiani and
Sining Chen Multiple Model Evaluation Absent the
Gold Standard Through Model Combination 897--909
Ying Chen and
Wolfgang Härdle and
Seok-Oh Jeong Nonparametric Risk Management With
Generalized Hyperbolic Distributions . . 910--923
Dylan S. Small and
Paul R. Rosenbaum War and Wages . . . . . . . . . . . . . 924--933
Mikyoung Jun and
Reto Knutti and
Douglas W. Nychka Spatial Analysis to Quantify Numerical
Model Bias and Dependence . . . . . . . 934--947
Ross Corkrey and
Steve Brooks and
David Lusseau and
Kim Parsons and
John W. Durban and
Philip S. Hammond and
Paul M. Thompson A Bayesian Capture--Recapture Population
Model With Simultaneous Estimation of
Heterogeneity . . . . . . . . . . . . . 948--960
S. C. Kou Stochastic Networks in Nanoscale
Biophysics . . . . . . . . . . . . . . . 961--975
Jinbo Chen and
Rajeev Ayyagari and
Nilanjan Chatterjee and
David Y. Pee and
Catherine Schairer and
Celia Byrne and
Jacques Benichou and
Mitchell H. Gail Breast Cancer Relative Hazard Estimates
From Case--Control and Cohort Designs
With Missing Data on Mammographic
Density . . . . . . . . . . . . . . . . 976--988
Chris Skinner and
Natalie Shlomo Assessing Identification Risk in Survey
Microdata Using Log-Linear Models . . . 989--1001
Sheng Luo and
Ciprian M. Crainiceanu and
Thomas A. Louis and
Nilanjan Chatterjee Analysis of Smoking Cessation Patterns
Using a Stochastic Mixed-Effects Model
With a Latent Cured State . . . . . . . 1002--1013
Isobel Claire Gormley and
Thomas Brendan Murphy Exploring Voting Blocs Within the Irish
Electorate . . . . . . . . . . . . . . . 1014--1027
Miles S. Kimball and
Claudia R. Sahm and
Matthew D. Shapiro Imputing Risk Tolerance From Survey
Responses . . . . . . . . . . . . . . . 1028--1038
Wessel N. van Wieringen and
Mark A. van de Wiel and
Aad W. van der Vaart A Test for Partial Differential
Expression . . . . . . . . . . . . . . . 1039--1049
Jose Manuel Pavía and
Beatriz Larraz and
Jose Marí Montero Election Forecasts Using Spatiotemporal
Models . . . . . . . . . . . . . . . . . 1050--1059
Louis-Paul Rivest and
Sophie Baillargeon and
Michael Pierrynowski A Directional Model for the Estimation
of the Rotation Axes of the Ankle Joint 1060--1069
Xiao Wang and
Matthew Walker and
Jayanta Pal and
Michael Woodroofe and
Mario Mateo Model-Independent Estimates of Dark
Matter Distributions . . . . . . . . . . 1070--1084
Kyounghwa Bae and
Bani K. Mallick and
Christine G. Elsik Prediction of Protein Interdomain Linker
Regions by a Nonstationary Hidden Markov
Model . . . . . . . . . . . . . . . . . 1085--1099
Shanshan Wang and
Wolfgang Jank and
Galit Shmueli and
Paul Smith Modeling Price Dynamics in eBay Auctions
Using Differential Equations . . . . . . 1100--1118
Robert B. Gramacy and
Herbert K. H. Lee Bayesian Treed Gaussian Process Models
With an Application to Computer Modeling 1119--1130
Abel Rodríguez and
David B. Dunson and
Alan E. Gelfand The Nested Dirichlet Process . . . . . . 1131--1154
Alois Kneip and
James O. Ramsay Combining Registration and Fitting for
Functional Models . . . . . . . . . . . 1155--1165
Ross Iaci and
Xiangrong Yin and
T. N. Sriram and
Christian Peter Klingenberg An Informational Measure of Association
and Dimension Reduction for Multiple
Sets and Groups With Applications in
Morphometric Analysis . . . . . . . . . 1166--1176
Bing Li and
Songqiao Wen and
Lixing Zhu On a Projective Resampling Method for
Dimension Reduction With Multivariate
Responses . . . . . . . . . . . . . . . 1177--1186
Yong Zhou and
Alan T. K. Wan and
Xiaojing Wang Estimating Equations Inference With
Missing Data . . . . . . . . . . . . . . 1187--1199
Guosheng Yin and
Hui Li and
Donglin Zeng Partially Linear Additive Hazards
Regression With Varying Coefficients . . 1200--1213
Guosheng Yin and
Donglin Zeng and
Hui Li Power-Transformed Linear Quantile
Regression With Censored Data . . . . . 1214--1224
Holger Dette and
Frank Bretz and
Andrey Pepelyshev and
José Pinheiro Optimal Designs for Dose-Finding Studies 1225--1237
Yongtao Guan On Consistent Nonparametric Intensity
Estimation for Inhomogeneous Spatial
Point Processes . . . . . . . . . . . . 1238--1247
Ying Hung and
Veronika Zarnitsyna and
Yan Zhang and
Cheng Zhu and
C. F. Jeff Wu Binary Time Series Modeling With
Application to Adhesion Frequency
Experiments . . . . . . . . . . . . . . 1248--1259
Guido Consonni and
Luca La Rocca Tests Based on Intrinsic Priors for the
Equality of Two Correlated Proportions 1260--1269
Chiung-Yu Huang and
Jing Qin and
Dean A. Follmann Empirical Likelihood-Based Estimation of
the Treatment Effect in a
Pretest--Posttest Study . . . . . . . . 1270--1280
Yufeng Liu and
David Neil Hayes and
Andrew Nobel and
J. S. Marron Statistical Significance of Clustering
for High-Dimension, Low-Sample Size Data 1281--1293
Ricardo Fraiman and
Ana Justel and
Marcela Svarc Selection of Variables for Cluster
Analysis and Classification Rules . . . 1294--1303
Peter Radchenko and
Gareth M. James Variable Inclusion and Shrinkage
Algorithms . . . . . . . . . . . . . . . 1304--1315
Loveday Conquest Analysing Ecological Data . . . . . . . 1317--1317
Rolf Sundberg Book review: \booktitleApplied
Chemometrics for Scientists . . . . . . 1317--1318
Keith Heyen Book review: \booktitleThe Basel II Risk
Parameters: Estimation, Validation, and
Stress Testing . . . . . . . . . . . . . 1318--1319
David H. Annis Book review: \booktitleBayes Linear
Statistics: Theory and Methods . . . . . 1319--1319
Thomas E. Bradstreet Book review: \booktitleBioequivalence
Studies in Drug Development: Methods and
Applications . . . . . . . . . . . . . . 1319--1320
Angela Dean Book review: \booktitleThe Construction
of Optimal Stated Choice Experiments:
Theory and Methods . . . . . . . . . . . 1320--1321
Thomas C. M. Lee Book review: \booktitleInformation and
Complexity in Statistical Modeling . . . 1321--1322
Jeff Gill Book review: \booktitleIntroduction to
Applied Bayesian Statistics and
Estimation for Social Scientists . . . . 1322--1323
Christopher R. Bilder and
Joshua M. Tebbs Book review: \booktitleAn Introduction
to Categorical Data Analysis . . . . . . 1323--1323
Thorsten Rheinländer Book review: \booktitleIntroduction to
Stochastic Integration . . . . . . . . . 1324--1324
Lynne Stokes Book review: \booktitleIntroduction to
Variance Estimation . . . . . . . . . . 1324--1325
Jozef L. Teugels Book review: \booktitleMarkov Chains:
Models, Algorithms and Applications . . 1325--1325
Bo Li Book review: \booktitleModel-Based
Geostatistics . . . . . . . . . . . . . 1325--1326
Timothy J. Robinson Book review: \booktitleModels for
Ecological Data: An Introduction . . . . 1326--1326
Michael R. Chernick Book review: \booktitleNonparametric
Statistics, With Applications to Science
and Engineering . . . . . . . . . . . . 1326--1327
Christine M. Anderson-Cook Book review: \booktitleOptimum
Experimental Designs, With SAS . . . . . 1327--1328
Anonymous Telegraphic Reviews . . . . . . . . . . 1328--1330
Mary Ellen Bock Statistics: Harnessing the Power of
Information . . . . . . . . . . . . . . 1331--1333
William R. Shadish and
M. H. Clark and
Peter M. Steiner Can Nonrandomized Experiments Yield
Accurate Answers? A Randomized
Experiment Comparing Random and
Nonrandom Assignments . . . . . . . . . 1334--1344
Roderick J. Little and
Qi Long and
Xihong Lin Comment: Can Nonrandomized Experiments
Yield Accurate Answers? A Randomized
Experiment Comparing Random and
Nonrandom Assignments . . . . . . . . . 1344--1346
Jennifer Hill Comment: Can Nonrandomized Experiments
Yield Accurate Answers? A Randomized
Experiment Comparing Random and
Nonrandom Assignments . . . . . . . . . 1346--1350
Donald B. Rubin Comment: The Design and Analysis of Gold
Standard Randomized Experiments . . . . 1350--1353
William R. Shadish and
M. H. Clark and
Peter M. Steiner Rejoinder: Comment: The Design and
Analysis of Gold Standard Randomized
Experiments . . . . . . . . . . . . . . 1353--1356
Andrei Y. Yakovlev and
Vessela K. Stoimenova and
Nikolay M. Yanev Branching Processes as Models of
Progenitor Cell Populations and
Estimation of the Offspring
Distributions . . . . . . . . . . . . . 1357--1366
Dimitris Fouskakis and
David Draper Comparing Stochastic Optimization
Methods for Variable Selection in Binary
Outcome Prediction, With Application to
Health Policy . . . . . . . . . . . . . 1367--1381
John H. J. Einmahl and
Jan R. Magnus Records in Athletics Through
Extreme-Value Theory . . . . . . . . . . 1382--1391
Bryan E. Shepherd and
Mary W. Redman and
Donna P. Ankerst Does Finasteride Affect the Severity of
Prostate Cancer? A Causal Sensitivity
Analysis . . . . . . . . . . . . . . . . 1392--1404
A. James O'Malley and
Alan M. Zaslavsky Domain-Level Covariance Analysis for
Multilevel Survey Data With Structured
Nonresponse . . . . . . . . . . . . . . 1405--1418
Clive G. Bowsher and
Roland Meeks The Dynamics of Economic Functions:
Modeling and Forecasting the Yield Curve 1419--1437
Carlos M. Carvalho and
Jeffrey Chang and
Joseph E. Lucas and
Joseph R. Nevins and
Quanli Wang and
Mike West High-Dimensional Sparse Factor Modeling:
Applications in Gene Expression Genomics 1438--1456
Edward W. Frees and
Emiliano A. Valdez Hierarchical Insurance Claims Modeling 1457--1469
Brian S. Caffo and
Ciprian M. Crainiceanu and
Lijuan Deng and
Craig W. Hendrix A Case Study in Pharmacologic Colon
Imaging Using Principal Curves in
Single-Photon Emission Computed
Tomography . . . . . . . . . . . . . . . 1470--1480
Michael L. Anderson Multiple Inference and Gender
Differences in the Effects of Early
Intervention: a Reevaluation of the
Abecedarian, Perry Preschool, and Early
Training Projects . . . . . . . . . . . 1481--1495
Daniel Merl and
Raquel Prado and
Ananías A. Escalante Assessing the Effect of Selection at the
Amino Acid Level in Malaria Antigen
Sequences Through Bayesian Generalized
Linear Models . . . . . . . . . . . . . 1496--1507
David B. Dunson and
Amy H. Herring and
Anna Maria Siega-Riz Bayesian Inference on Changes in
Response Densities Over Predictor
Clusters . . . . . . . . . . . . . . . . 1508--1517
Haitao Chu and
Lei Nie A Few Remarks on \em ``A
Capture--Recapture Approach for
Screening Using Two Diagnostic Tests
With Availability of Disease Status for
the Test Positives Only'' by Böhning and
Patilea . . . . . . . . . . . . . . . . 1518--1519
Jianqing Fan and
Yichao Wu Semiparametric Estimation of Covariance
Matrixes for Longitudinal Data . . . . . 1520--1533
Hans-Georg Müller and
Fang Yao Functional Additive Models . . . . . . . 1534--1544
Cari G. Kaufman and
Mark J. Schervish and
Douglas W. Nychka Covariance Tapering for Likelihood-Based
Estimation in Large Spatial Data Sets 1545--1555
Lifeng Wang and
Hongzhe Li and
Jianhua Z. Huang Variable Selection in Nonparametric
Varying-Coefficient Models for Analysis
of Repeated Measurements . . . . . . . . 1556--1569
Hua Liang and
Hulin Wu Parameter Estimation for Differential
Equation Models Using a Framework of
Measurement Error in Regression Models 1570--1583
Jiti Gao and
Ir\`ene Gijbels Bandwidth Selection in Nonparametric
Kernel Testing . . . . . . . . . . . . . 1584--1594
Zongwu Cai and
Xiaoping Xu Nonparametric Quantile Estimations for
Dynamic Smooth Coefficient Models . . . 1595--1608
Kjell Doksum and
Shijie Tang and
Kam-Wah Tsui Nonparametric Variable Selection: The
EARTH Algorithm . . . . . . . . . . . . 1609--1620
Qing Liu and
Keaven M. Anderson On Adaptive Extensions of Group
Sequential Trials for Clinical
Investigations . . . . . . . . . . . . . 1621--1630
Yingcun Xia A Multiple-Index Model and Dimension
Reduction . . . . . . . . . . . . . . . 1631--1640
J. Kunert and
J. Stufken Optimal Crossover Designs for Two
Treatments in the Presence of Mixed and
Self-Carryover Effects . . . . . . . . . 1641--1647
Joseph G. Ibrahim and
Hongtu Zhu and
Niansheng Tang Model Selection Criteria for
Missing-Data Problems Using the EM
Algorithm . . . . . . . . . . . . . . . 1648--1658
Ming-Hui Chen and
Joseph G. Ibrahim and
Sungduk Kim Properties and Implementation of
Jeffreys's Prior in Binomial Regression
Models . . . . . . . . . . . . . . . . . 1659--1664
Yongdai Kim and
Hosik Choi and
Hee-Seok Oh Smoothly Clipped Absolute Deviation on
High Dimensions . . . . . . . . . . . . 1665--1673
Jiahua Chen and
Abbas Khalili Order Selection in Finite Mixture Models
With a Nonsmooth Penalty . . . . . . . . 1674--1683
Jeng-Min Chiou and
Pai-Ling Li Correlation-Based Functional Clustering
via Subspace Projection . . . . . . . . 1684--1692
Stijn Vansteelandt and
Tyler J. VanderWeele and
Eric J. Tchetgen and
James M. Robins Multiply Robust Inference for
Statistical Interactions . . . . . . . . 1693--1704
Anonymous Book Reviews . . . . . . . . . . . . . . 1705--1728
Anonymous Corrections . . . . . . . . . . . . . . 1729--1729
Anonymous 2008 Editorial Collaborators . . . . . . 1730--1734
Anonymous Index to Volume 103 (2008) . . . . . . . 1735--1743
Peter A. Lachenbruch Communicating Statistics and Developing
Professionals: The 2008 ASA Presidential
Address . . . . . . . . . . . . . . . . 1--4
Ricardo T. Lemos and
Bruno Sansó A Spatio-Temporal Model for Mean,
Anomaly, and Trend Fields of North
Atlantic Sea Surface Temperature . . . . 5--18
D. Higdon Comment: a Spatio-Temporal Model for
Mean, Anomaly, and Trend Fields of North
Atlantic Sea Surface Temperature . . . . 18--20
Roy Mendelssohn Comment: a Spatio-Temporal Model for
Mean, Anomaly, and Trend Fields of North
Atlantic Sea Surface Temperature . . . . 20--22
C. K. Wikle and
R. F. Milliff Comment: a Spatio-Temporal Model for
Mean, Anomaly, and Trend Fields of North
Atlantic Sea Surface Temperature . . . . 22--23
R. T. Lemos and
B. Sansó Rejoinder: a Spatio-Temporal Model for
Mean, Anomaly, and Trend Fields of North
Atlantic Sea Surface Temperature . . . . 23--25
Jamie L. Bigelow and
David B. Dunson Bayesian Semiparametric Joint Models for
Functional Predictors . . . . . . . . . 26--36
Laura M. Sangalli and
Piercesare Secchi and
Simone Vantini and
Alessandro Veneziani A Case Study in Exploratory Functional
Data Analysis: Geometrical Features of
the Internal Carotid Artery . . . . . . 37--48
Douglas E. Schaubel and
Robert A. Wolfe and
Camelia S. Sima and
Robert M. Merion Estimating the Effect of a
Time-Dependent Treatment by Levels of an
Internal Time-Dependent Covariate:
Application to the Contrast Between
Liver Wait-List and Posttransplant
Mortality . . . . . . . . . . . . . . . 49--59
Richard J. Cook and
Jerald F. Lawless and
Lajmi Lakhal-Chaieb and
Ker-Ai Lee Robust Estimation of Mean Functions and
Treatment Effects for Recurrent Events
Under Event-Dependent Censoring and
Termination: Application to Skeletal
Complications in Cancer Metastatic to
Bone . . . . . . . . . . . . . . . . . . 60--75
Daniel A. Henderson and
Richard J. Boys and
Kim J. Krishnan and
Conor Lawless and
Darren J. Wilkinson Bayesian Emulation and Calibration of a
Stochastic Computer Model of
Mitochondrial DNA Deletions in
Substantia Nigra Neurons . . . . . . . . 76--87
Anthony Y. C. Kuk and
C. C. Tan Estimating the Time-Varying Rate of
Transmission of SARS in Singapore and
Hong Kong Under Two Environments . . . . 88--96
Richard L. Smith and
Claudia Tebaldi and
Doug Nychka and
Linda O. Mearns Bayesian Modeling of Uncertainty in
Ensembles of Climate Models . . . . . . 97--116
A. Ronald Gallant and
Robert E. McCulloch On the Determination of General
Scientific Models With Application to
Asset Pricing . . . . . . . . . . . . . 117--131
Paul Fearnhead and
Despina Vasileiou Bayesian Analysis of Isochores . . . . . 132--141
Feng Guo and
Dipak K. Dey and
Kent E. Holsinger A Bayesian Hierarchical Model for
Analysis of Single-Nucleotide
Polymorphisms Diversity in Multilocus,
Multipopulation Samples . . . . . . . . 142--154
Erica E. M. Moodie and
Robert W. Platt and
Michael S. Kramer Estimating Response-Maximized Decision
Rules With Applications to Breastfeeding 155--165
Junni L. Zhang and
Donald B. Rubin and
Fabrizia Mealli Likelihood-Based Analysis of Causal
Effects of Job-Training Programs Using
Principal Stratification . . . . . . . . 166--176
Adam J. Rothman and
Elizaveta Levina and
Ji Zhu Generalized Thresholding of Large
Covariance Matrices . . . . . . . . . . 177--186
Jiahua Chen and
Abbas Khalili Order Selection in Finite Mixture Models
With a Nonsmooth Penalty . . . . . . . . 187--196
R. Dennis Cook and
Liliana Forzani Likelihood-Based Sufficient Dimension
Reduction . . . . . . . . . . . . . . . 197--208
Lisha Chen and
Andreas Buja Local Multidimensional Scaling for
Nonlinear Dimension Reduction, Graph
Drawing, and Proximity Analysis . . . . 209--219
Yi-Hau Chen and
Nilanjan Chatterjee and
Raymond J. Carroll Shrinkage Estimators for Robust and
Efficient Inference in Haplotype-Based
Case-Control Studies . . . . . . . . . . 220--233
Hua Liang and
Runze Li Variable Selection for Partially Linear
Models With Measurement Errors . . . . . 234--248
Ori Rosen and
David S. Stoffer and
Sally Wood Local Spectral Analysis via a Bayesian
Mixture of Smoothing Splines . . . . . . 249--262
Lionel Cucala and
Jean-Michel Marin and
Christian P. Robert and
D. M. Titterington A Bayesian Reassessment of
Nearest-Neighbor Classification . . . . 263--273
Athanasios C. Micheas and
Christopher K. Wikle A Bayesian Hierarchical Nonoverlapping
Random Disc Growth Model . . . . . . . . 274--283
Byeong U. Park and
Enno Mammen and
Wolfgang Härdle and
Szymon Borak Time Series Modelling With
Semiparametric Factor Dynamics . . . . . 284--298
Piotr Fryzlewicz and
Hernando Ombao Consistent Classification of
Nonstationary Time Series Using
Stochastic Wavelet Representations . . . 299--312
Christian Francq and
Jean-Michel Zako\"\ian Testing the Nullity of GARCH
Coefficients: Correction of the Standard
Tests and Relative Efficiency
Comparisons . . . . . . . . . . . . . . 313--324
M. Hashem Pesaran and
Allan Timmermann Testing Dependence Among Serially
Correlated Multicategory Variables . . . 325--337
Cristina Rueda and
Miguel A. Fernández and
Shyamal Das Peddada Estimation of Parameters Subject to
Order Restrictions on a Circle With
Application to Estimation of Phase
Angles of Cell Cycle Genes . . . . . . . 338--347
Aurore Delaigle and
Jianqing Fan and
Raymond J. Carroll A Design-Adaptive Local Polynomial
Estimator for the Errors-in-Variables
Problem . . . . . . . . . . . . . . . . 348--359
Alfio Marazzi and
Ana J. Villar and
Victor J. Yohai Robust Response Transformations Based on
Optimal Prediction . . . . . . . . . . . 360--370
Zongwu Cai and
Xiaoping Xu Nonparametric Quantile Estimations for
Dynamic Smooth Coefficient Models . . . 371--383
John D. Kloke and
Joseph W. McKean and
M. Mushfiqur Rashid Rank-Based Estimation and Associated
Inferences for Linear Models With
Cluster Correlated Errors . . . . . . . 384--390
S. A. Murphy and
D. Bingham Screening Experiments for Developing
Dynamic Treatment Regimes . . . . . . . 391--408
Anonymous Book Reviews . . . . . . . . . . . . . . 409--426
Anonymous Correction . . . . . . . . . . . . . . . 427--427
Xuefeng Liu and
Michael J. Daniels and
Bess Marcus Joint Models for the Association of
Longitudinal Binary and Continuous
Processes With Application to a Smoking
Cessation Trial . . . . . . . . . . . . 429--438
Pulak Ghosh and
Sanjib Basu and
Ram C. Tiwari Bayesian Analysis of Cancer Rates From
SEER Program Using Parametric and
Semiparametric Joinpoint Regression
Models . . . . . . . . . . . . . . . . . 439--452
Jeff Gill and
George Casella Nonparametric Priors for Ordinal
Bayesian Social Science Models:
Specification and Estimation . . . . . . 453--454
Siew Leng Teng and
Haiyan Huang A Statistical Framework to Infer
Functional Gene Relationships From
Biologically Interrelated Microarray
Experiments . . . . . . . . . . . . . . 465--473
Pulak Ghosh and
Wanzhu Tu Assessing Sexual Attitudes and Behaviors
of Young Women: a Joint Model with
Nonlinear Time Effects, Time Varying
Covariates, and Dropouts . . . . . . . . 474--485
Debopam Bhattacharya Inferring Optimal Peer Assignment From
Experimental Data . . . . . . . . . . . 486--500
Paul R. Rosenbaum and
Jeffrey H. Silber Sensitivity Analysis for Equivalence and
Difference in an Observational Study of
Neonatal Intensive Care Units . . . . . 501--511
Haitao Chu and
Sining Chen and
Thomas A. Louis Random Effects Models in a Meta-Analysis
of the Accuracy of Two Diagnostic Tests
Without a Gold Standard . . . . . . . . 512--523
Tanzy Love and
Alicia Carriquiry Repeated Measurements on Distinct Scales
With Censoring --- a Bayesian Approach
Applied to Microarray Analysis of Maize 524--540
Ciprian M. Crainiceanu and
Brian S. Caffo and
Chong-Zhi Di and
Naresh M. Punjabi Nonparametric Signal Extraction and
Measurement Error in the Analysis of
Electroencephalographic Activity During
Sleep . . . . . . . . . . . . . . . . . 541--555
Finbarr O'Sullivan and
Mark Muzi and
Alexander M. Spence and
David M. Mankoff and
Janet N. O'Sullivan and
Niall Fitzgerald and
George C. Newman and
Kenneth A. Krohn Nonparametric Residue Analysis of
Dynamic PET Data With Application to
Cerebral FDG Studies in Normals . . . . 556--571
Jeng-Min Chiou and
Hans-Georg Müller Modeling Hazard Rates as Functional Data
for the Analysis of Cohort Lifetables
and Mortality Forecasting . . . . . . . 572--585
Kristin P. Lennox and
David B. Dahl and
Marina Vannucci and
Jerry W. Tsai Density Estimation for Protein
Conformation Angles Using a Bivariate
von Mises Distribution and Bayesian
Nonparametrics . . . . . . . . . . . . . 586--596
Jianhua Hu and
Adarsh Joshi and
Valen E. Johnson Log-Linear Models for Gene Association 597--607
Christopher J. Paciorek and
Jason S. McLachlan Mapping Ancient Forests: Bayesian
Inference for Spatio-Temporal Trends in
Forest Composition Using the Fossil
Pollen Proxy Record . . . . . . . . . . 608--622
Hongtu Zhu and
Yimei Li and
Joseph G. Ibrahim and
Xiaoyan Shi and
Hongyu An and
Yashen Chen and
Wei Gao and
Weili Lin and
Daniel B. Rowe and
Bradley S. Peterson Regression Models for Identifying Noise
Sources in Magnetic Resonance Images . . 623--637
Jonathan D. Norton and
Xu-Feng Niu Intrinsically Autoregressive
Spatiotemporal Models With Application
to Aggregated Birth Outcomes . . . . . . 638--649
Gilles Durrieu and
Laurent Briollais Sequential Design for Microarray
Experiments . . . . . . . . . . . . . . 650--660
Greg Ridgeway and
John M. MacDonald Doubly Robust Internal Benchmarking and
False Discovery Rates for Detecting
Racial Bias in Police Stops . . . . . . 661--668
Catriona M. Queen and
Casper J. Albers Intervention and Causality: Forecasting
Traffic Flows Using a Dynamic Bayesian
Network . . . . . . . . . . . . . . . . 669--681
Iain M. Johnstone and
Arthur Yu Lu On Consistency and Sparsity for
Principal Components Analysis in High
Dimensions . . . . . . . . . . . . . . . 682--693
Boaz Nadler Discussion . . . . . . . . . . . . . . . 694--697
Daniela M. Witten and
Trevor Hastie and
Robert Tibshirani Discussion . . . . . . . . . . . . . . . 698--699
James O. Ramsay Comments . . . . . . . . . . . . . . . . 700--700
Iain M. Johnstone and
Arthur Yu Lu Rejoinder: Comments . . . . . . . . . . 701--703
Bitao Liu and
Hans-Georg Müller Estimating Derivatives for Samples of
Sparsely Observed Functions, With
Application to Online Auction Dynamics 704--717
Sara López-Pintado and
Juan Romo On the Concept of Depth for Functional
Data . . . . . . . . . . . . . . . . . . 718--734
Jie Peng and
Pei Wang and
Nengfeng Zhou and
Ji Zhu Partial Correlation Estimation by Joint
Sparse Regression Models . . . . . . . . 735--746
Hansheng Wang and
Yingcun Xia Shrinkage Estimation of the Varying
Coefficient Model . . . . . . . . . . . 747--757
Weixin Yao and
Bruce G. Lindsay Bayesian Mixture Labeling by Highest
Posterior Density . . . . . . . . . . . 758--767
Laura Ventura and
Stefano Cabras and
Walter Racugno Prior Distributions From
Pseudo-Likelihoods in the Presence of
Nuisance Parameters . . . . . . . . . . 768--774
Minge Xie and
Kesar Singh and
Cun-Hui Zhang Confidence Intervals for Population
Ranks in the Presence of Ties and Near
Ties . . . . . . . . . . . . . . . . . . 775--788
Jan C. Neddermeyer Computationally Efficient Nonparametric
Importance Sampling . . . . . . . . . . 788--802
Liuquan Sun and
Zhigang Zhang A Class of Transformed Mean Residual
Life Models With Censored Survival Data 803--815
Francesco Bartolucci and
Alessio Farcomeni A Multivariate Extension of the Dynamic
Logit Model for Longitudinal Data Based
on a Latent Markov Heterogeneity
Structure . . . . . . . . . . . . . . . 816--831
Martin Posch and
Sonja Zehetmayer and
Peter Bauer Hunting for Significance With the False
Discovery Rate . . . . . . . . . . . . . 832--840
David Rios Insua and
Jesus Rios and
David Banks Adversarial Risk Analysis . . . . . . . 841--854
Anonymous Book Reviews . . . . . . . . . . . . . . 855--871
Anonymous Corrections . . . . . . . . . . . . . . 872--872
Ben B. Hansen and
Jake Bowers Attributing Effects to a
Cluster-Randomized Get-Out-the-Vote
Campaign . . . . . . . . . . . . . . . . 873--885
Lan Huang and
Ram C. Tiwari and
Zhaohui Zou and
Martin Kulldorff and
Eric J. Feuer Weighted Normal Spatial Scan Statistic
for Heterogeneous Population Data . . . 886--898
Nicole H. Augustin and
Monica Musio and
Klaus von Wilpert and
Edgar Kublin and
Simon N. Wood and
Martin Schumacher Modeling Spatiotemporal Forest Health
Monitoring Data . . . . . . . . . . . . 899--911
Rebecca A. Hubbard and
Lurdes Y. T. Inoue and
Paula Diehr Joint Modeling of Self-Rated Health and
Changes in Physical Functioning . . . . 912--928
M. J. Bayarri and
James O. Berger and
Marc C. Kennedy and
Athanasios Kottas and
Rui Paulo and
Jerry Sacks and
John A. Cafeo and
Chin-Hsu Lin and
Jian Tu Predicting Vehicle Crashworthiness:
Validation of Computer Models for
Functional and Hierarchical Data . . . . 929--943
Jianhua Hu and
Xuming He and
Gilbert J. Cote and
Ralf Krahe Singular Value Decomposition-Based
Alternative Splicing Detection . . . . . 944--953
Guosheng Yin and
Ying Yuan Bayesian Model Averaging Continual
Reassessment Method in Phase I Clinical
Trials . . . . . . . . . . . . . . . . . 954--968
Xinwei Deng and
V. Roshan Joseph and
Agus Sudjianto and
C. F. Jeff Wu Active Learning Through Sequential
Design, With Applications to Detection
of Money Laundering . . . . . . . . . . 969--981
John H. J. Einmahl and
Jun Li and
Regina Y. Liu Thresholding Events of Extreme in
Simultaneous Monitoring of Multiple
Risks . . . . . . . . . . . . . . . . . 982--992
Raymond J. Carroll and
Aurore Delaigle and
Peter Hall Nonparametric Prediction in Measurement
Error Models . . . . . . . . . . . . . . 993--1003
Jianqing Fan and
Yang Feng Comment: Nonparametric Prediction in
Measurement Error Models . . . . . . . . 1003--1007
Susanne M. Schennach Comment: Nonparametric Prediction in
Measurement Error Models . . . . . . . . 1007--1010
John Staudenmayer Comment: Nonparametric Prediction in
Measurement Error Models . . . . . . . . 1010--1012
Jiayang Sun and
Xiaofeng Wang Comment: Nonparametric Prediction in
Measurement Error Models . . . . . . . . 1012--1013
Raymond J. Carroll and
Aurore Delaigle and
Peter Hall Rejoinder: Nonparametric Prediction in
Measurement Error Models . . . . . . . . 1013--1014
Bradley Efron Empirical Bayes Estimates for
Large-Scale Prediction Problems . . . . 1015--1028
Scotland C. Leman and
Yuguo Chen and
Michael Lavine The Multiset Sampler . . . . . . . . . . 1029--1041
David B. Dunson and
Chuanhua Xing Nonparametric Bayes Modeling of
Multivariate Categorical Data . . . . . 1042--1051
Dan Nettleton Testing for the Supremacy of a
Multinomial Cell Probability . . . . . . 1052--1059
Minggen Lu and
Ying Zhang and
Jian Huang Semiparametric Estimation Methods for
Panel Count Data Using Monotone
B-Splines . . . . . . . . . . . . . . . 1060--1070
Djalil Chafa\"\i and
Didier Concordet Confidence Regions for the Multinomial
Parameter With Small Sample Size . . . . 1071--1079
Chad M. Schafer and
Philip B. Stark Constructing Confidence Regions of
Optimal Expected Size . . . . . . . . . 1080--1089
Ruth Heller and
Paul R. Rosenbaum and
Dylan S. Small Split Samples and Design Sensitivity in
Observational Studies . . . . . . . . . 1090--1101
Yacine A\"\it-Sahalia and
Jianqing Fan and
Heng Peng Nonparametric Transition-Based Tests for
Jump Diffusions . . . . . . . . . . . . 1102--1116
Huixia Judy Wang and
Lan Wang Locally Weighted Censored Quantile
Regression . . . . . . . . . . . . . . . 1117--1128
Ying Wei and
Raymond J. Carroll Quantile Regression With Measurement
Error . . . . . . . . . . . . . . . . . 1129--1143
Yu-Jen Cheng and
Ciprian M. Crainiceanu Cox Models With Smooth Functional Effect
of Covariates Measured With Error . . . 1144--1154
Qiang Xu and
Myunghee Cho Paik and
Xiaodong Luo and
Wei-Yann Tsai Reweighting Estimators for Cox
Regression With Missing Covariates . . . 1155--1167
Hao Liu and
Yu Shen A Semiparametric Regression Cure Model
for Interval-Censored Data . . . . . . . 1168--1178
Ming-Yen Cheng and
Wenyang Zhang and
Lu-Hung Chen Statistical Estimation in Generalized
Multiparameter Likelihood Models . . . . 1179--1191
Yu Shen and
Jing Ning and
Jing Qin Analyzing Length-Biased Data With
Semiparametric Transformation and
Accelerated Failure Time Models . . . . 1192--1202
Hongtu Zhu and
Yasheng Chen and
Joseph G. Ibrahim and
Yimei Li and
Colin Hall and
Weili Lin Intrinsic Regression Models for
Positive-Definite Matrices With
Applications to Diffusion Tensor Imaging 1203--1212
Junhui Wang and
Xiaotong Shen and
Wei Pan On Large Margin Hierarchical
Classification With Multiple Paths . . . 1213--1223
Bing-Yi Jing and
Junqing Yuan and
Wang Zhou Jackknife Empirical Likelihood . . . . . 1224--1232
Hansheng Wang and
Chih-Ling Tsai Tail Index Regression . . . . . . . . . 1233--1240
Megan Othus and
Yi Li and
Ram C. Tiwari A Class of Semiparametric Mixture Cure
Survival Models With Dependent Censoring 1241--1250
Zuoheng Wang and
Mary Sara McPeek An Incomplete-Data Quasi-Likelihood
Approach to Haplotype-Based Genetic
Association Studies on Related
Individuals . . . . . . . . . . . . . . 1251--1260
George Casella and
Elías Moreno Assessing Robustness of Intrinsic Tests
of Independence in Two-Way Contingency
Tables . . . . . . . . . . . . . . . . . 1261--1271
Anonymous Book Reviews . . . . . . . . . . . . . . 1272--1291
Anonymous Corrections . . . . . . . . . . . . . . 1292--1292
Joseph M. Hilbe Note: Modeling Future Record
Performances in Athletics . . . . . . . 1293--1294
Robert B. Scharpf and
Håkon Tjelmeland and
Giovanni Parmigiani and
Andrew B. Nobel A Bayesian Model for Cross-Study
Differential Gene Expression . . . . . . 1295--1310
Debashis Ghosh and
Hyungwon Choi Comment: a Bayesian Model for
Cross-Study Differential Gene Expression 1310--1314
Xiaodan Fan and
Jun S. Liu Comment: a Bayesian Model for
Cross-Study Differential Gene Expression 1314--1318
Robert B. Scharpf and
Håkon Tjelmeland and
Giovanni Parmigiani and
Andrew B. Nobel Rejoinder: a Bayesian Model for
Cross-Study Differential Gene Expression 1318--1323
Siddhartha Chib and
Bakhodir Ergashev Analysis of Multifactor Affine Yield
Curve Models . . . . . . . . . . . . . . 1324--1337
Carolyn M. Rutter and
Diana L. Miglioretti and
James E. Savarino Bayesian Calibration of Microsimulation
Models . . . . . . . . . . . . . . . . . 1338--1350
Jianqing Fan and
Loriano Mancini Option Pricing With Model-Guided
Nonparametric Methods . . . . . . . . . 1351--1372
Jamie Perin and
John S. Preisser and
Paul J. Rathouz Semiparametric Efficient Estimation for
Incomplete Longitudinal Binary Data,
With Application to Smoking Trends . . . 1373--1384
Melissa A. Bingham and
Daniel J. Nordman and
Stephen B. Vardeman Modeling and Inference for Measured
Crystal Orientations and a Tractable
Class of Symmetric Distributions for
Rotations in Three Dimensions . . . . . 1385--1397
Paul R. Rosenbaum and
Jeffrey H. Silber Amplification of Sensitivity Analysis in
Matched Observational Studies . . . . . 1398--1405
Chloé Friguet and
Maela Kloareg and
David Causeur A Factor Model Approach to Multiple
Testing Under Dependence . . . . . . . . 1406--1415
Anouar El Ghouch and
Marc G. Genton Local Polynomial Quantile Regression
With Parametric Features . . . . . . . . 1416--1429
Konstantinos Fokianos and
Anders Rahbek and
Dag Tjòstheim Poisson Autoregression . . . . . . . . . 1430--1439
Limin Peng and
Jason P. Fine Competing Risks Quantile Regression . . 1440--1453
Radu V. Craiu and
Jeffrey Rosenthal and
Chao Yang Learn From Thy Neighbor: Parallel-Chain
and Regional Adaptive MCMC . . . . . . . 1454--1466
T. Tony Cai and
Wenguang Sun Simultaneous Testing of Grouped
Hypotheses: Finding Needles in Multiple
Haystacks . . . . . . . . . . . . . . . 1467--1481
Yongtao Guan On Nonparametric Variance Estimation for
Second-Order Statistics of Inhomogeneous
Spatial Point Processes With a Known
Parametric Intensity Form . . . . . . . 1482--1491
Jing Qin and
Biao Zhang and
Denis H. Y. Leung Empirical Likelihood in Missing Data
Problems . . . . . . . . . . . . . . . . 1492--1503
Axel Gandy Sequential Implementation of Monte Carlo
Tests With Uniformly Bounded Resampling
Risk . . . . . . . . . . . . . . . . . . 1504--1511
Hansheng Wang Forward Regression for Ultra-High
Dimensional Variable Screening . . . . . 1512--1524
Davy Paindaveine On Multivariate Runs Tests for
Randomness . . . . . . . . . . . . . . . 1525--1538
Otilia Boldea and
Jan R. Magnus Maximum Likelihood Estimation of the
Multivariate Normal Mixture Model . . . 1539--1549
Ciprian M. Crainiceanu and
Ana-Maria Staicu and
Chong-Zhi Di Generalized Multilevel Functional
Regression . . . . . . . . . . . . . . . 1550--1561
Ming Yuan and
Hui Zou Efficient Global Approximation of
Generalized Nonlinear $
\ell_1$-Regularized Solution Paths and
Its Applications . . . . . . . . . . . . 1562--1574
Martin A. Lindquist and
Ian W. McKeague Logistic Regression With Brownian-Like
Predictors . . . . . . . . . . . . . . . 1575--1585
Changliang Zou and
Peihua Qiu Multivariate Statistical Process Control
Using LASSO . . . . . . . . . . . . . . 1586--1596
Peter Hall and
D. M. Titterington and
Jing-Hao Xue Median-Based Classifiers for
High-Dimensional Data . . . . . . . . . 1597--1608
Jianhua Z. Huang and
Haipeng Shen and
Andreas Buja The Analysis of Two-Way Functional Data
Using Two-Way Regularized Singular Value
Decompositions . . . . . . . . . . . . . 1609--1620
Ngai Hang Chan and
Song Xi Chen and
Liang Peng and
Cindy L. Yu Empirical Likelihood Methods Based on
Characteristic Functions With
Applications to Lévy Processes . . . . . 1621--1630
Lan Wang and
Bo Kai and
Runze Li Local Rank Inference for Varying
Coefficient Models . . . . . . . . . . . 1631--1645
Yeonseung Chung and
David B. Dunson Nonparametric Bayes Conditional
Distribution Modeling With Variable
Selection . . . . . . . . . . . . . . . 1646--1660
Yi Liu and
Jason Hsu Testing for Efficacy in Primary and
Secondary Endpoints by Partitioning
Decision Paths . . . . . . . . . . . . . 1661--1670
Nicolai Meinshausen and
Lukas Meier and
Peter Bühlmann $p$-Values for High-Dimensional
Regression . . . . . . . . . . . . . . . 1671--1681
Paul Gustafson What Are the Limits of Posterior
Distributions Arising From Nonidentified
Models, and Why Should We Care? . . . . 1682--1695
Zhijie Xiao and
Roger Koenker Conditional Quantile Estimation for
Generalized Autoregressive Conditional
Heteroscedasticity Models . . . . . . . 1696--1712
Anonymous Book Reviews . . . . . . . . . . . . . . 1713--1727
Anonymous Correction . . . . . . . . . . . . . . . 1728--1728
Anonymous 2009 Editorial Collaborators . . . . . . 1729--1734
Anonymous Index to Volume 104 (2009) . . . . . . . 1735--1744
Wouter Duivesteijn Correction to Jin-Ting Zhang's
``Approximate and Asymptotic
Distributions of Chi-Squared-Type
Mixtures With Applications'' . . . . . . 1370--1371