Last update:
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Pritam Ranjan and
Derek Bingham and
George Michailidis Sequential Experiment Design for Contour
Estimation from Complex Computer Codes 527--541
Anonymous The 2008 \booktitleTechnometrics Prizes 1--3
David M. Steinberg Mini-Issue on Anomaly Detection . . . . 4--4
Agus Sudjianto and
Sheela Nair and
Ming Yuan and
Aijun Zhang and
Daniel Kern and
Fernando Cela-Díaz Statistical Methods for Fighting
Financial Crimes . . . . . . . . . . . . 5--19
Richard A. Becker and
Chris Volinsky and
Allan R. Wilks Fraud Detection in Telecommunications:
History and Lessons Learned . . . . . . 20--33
David J. Hand Fraud Detection in Telecommunications
and Banking: Discussion of Becker,
Volinsky, and Wilks (2010) and Sudjianto
et al. (2010) [MR2752106; MR2752105] . . 34--38
Galit Shmueli and
Howard Burkom Statistical Challenges Facing Early
Outbreak Detection in Biosurveillance 39--51
Adrian E. Raftery and
Miroslav Kárný and
Pavel Ettler Online Prediction Under Model
Uncertainty via Dynamic Model Averaging:
Application to a Cold Rolling Mill . . . 52--66
Matthew J. Heaton and
C. Shane Reese and
William F. Christensen Incorporating Time-Dependent Source
Profiles Using the Dirichlet
Distribution in Multivariate Receptor
Models . . . . . . . . . . . . . . . . . 67--79
Tirthankar Dasgupta and
Arden Miller and
C. F. Jeff Wu Robust Design of Measurement Systems . . 80--93
Jeroen de Mast and
Wessel N. van Wieringen Modeling and Evaluating Repeatability
and Reproducibility of Ordinal
Classifications . . . . . . . . . . . . 94--106
Grzegorz Wy\lupek Data-driven $k$-sample tests . . . . . . 107--123
Yue Cui and
James S. Hodges and
Xiaoxiao Kong and
Bradley P. Carlin Partitioning Degrees of Freedom in
Hierarchical and Other Richly
Parameterized Models . . . . . . . . . . 124--136
Christopher M. Gotwalt Addendum to ``Fast Computation of
Designs Robust to Parameter Uncertainty
for Nonlinear Settings'' [MR2664866] . . 137--137
Christopher M. Gotwalt Addendum to ``Fast Computation of
Designs Robust to Parameter Uncertainty
for Nonlinear Settings'' . . . . . . . . 137--137
Myron Hlynka Book Review: \booktitleAn Introduction
to Queuing Theory Modeling and Analysis
in Applications by U. Narayan Bhat . . . 138--139
Anonymous Book Reviews . . . . . . . . . . . . . . 138--145
David J. Olive Book Review: \booktitleAnalysis of
Variance Designs: A Conceptual and
Computational Approach With SPSS and SAS
by G. Gamst; L. S. Meyers; A. J. Guarino 139--139
Dean V. Neubauer Book Review: \booktitleThe Role of
Statistics in Business and Industry by
Gerald J. Hahn; Necip Doganaksoy . . . . 139--140
Hon Keung Tony Ng Book Review: \booktitleMonte Carlo and
Quasi-Monte Carlo Sampling by Christiane
Lemieux . . . . . . . . . . . . . . . . 140--141
Adriana Horníková Book Review: \booktitleMaking Sense of
Data II: A Practical Guide to Data
Visualization, Advanced Data Mining
Methods, and Applications by Glenn J.
Myatt; Wayne P. Johnson . . . . . . . . 141--142
Weiming Ke Book Review: \booktitleAutomated Data
Analysis Using Excel by Brian Bissett 142--142
Adriana Horníková Book Review: \booktitleThe Methodology
and Practice of Econometrics, A
Festschrift in Honour of David F. Hendry
by Jennifer L. Castle; Neil Shephard . . 142--143
Derek S. Young Book Review: \booktitleStatistical
Tolerance Regions: Theory, Applications,
and Computation by K. Krishnamoorthy; T.
Mathew . . . . . . . . . . . . . . . . . 143--144
Anonymous Book Review: \booktitleThe Handbook of
Research Synthesis and Meta-Analysis
(2nd ed.) by Harris Cooper; Larry V.
Hedges; Jeffrey C. Valentine . . . . . . 144--145
Anonymous Book Review: \booktitleAnalysis of
Integrated and Cointegrated Time Series
With R (2nd ed.) by Bernhard Pfaff . . . 145--145
Anonymous Book Review: \booktitleCooperation in
Classification and Data Analysis by
Akinori Okada; Tadashi Imaizumi;
Hans-Hermann Bock; Wolfgang Gaul . . . . 145--145
Robert H. Mitchell Announcement of 2010 Hunter Award . . . 147--147
Yili Hong and
William Q. Meeker Field-Failure and Warranty Prediction
Based on Auxiliary Use-Rate Information 148--159
Todd L. Graves and
Christine M. Anderson-Cook and
Michael S. Hamada Reliability Models for Almost-Series and
Almost-Parallel Systems . . . . . . . . 160--171
Massimiliano Giorgio and
Maurizio Guida and
Gianpaolo Pulcini A State-Dependent Wear Model With an
Application to Marine Engine Cylinder
Liners . . . . . . . . . . . . . . . . . 172--187
Xiao Wang and
Dihua Xu An Inverse Gaussian Process Model for
Degradation Data . . . . . . . . . . . . 188--197
Aparna V. Huzurbazar and
Brian J. Williams Incorporating Covariates in Flowgraph
Models: Applications to Recurrent Event
Data . . . . . . . . . . . . . . . . . . 198--208
Kazuyuki Suzuki and
Toshie Nakamoto and
Yohtaro Matsuo Optimum Specimen Sizes and Sample
Allocation for Estimating Weibull Shape
Parameters for Two Competing Failure
Modes . . . . . . . . . . . . . . . . . 209--220
Martin L. Hazelton Statistical Inference for Transit System
Origin-Destination Matrices . . . . . . 221--230
Pi-Wen Tsai and
Steven G. Gilmour A General Criterion for Factorial
Designs Under Model Uncertainty . . . . 231--242
Sunanda Bagchi Main-Effect Plans Orthogonal Through the
Block Factor . . . . . . . . . . . . . . 243--249
Kenneth J. Ryan and
Dursun A. Bulutoglu Minimum Aberration Fractional Factorial
Designs With Large $N$ . . . . . . . . . 250--255
W. J. Conover Letter to the Editor . . . . . . . . . . 256--257
Diane K. Michelson Book Review: \booktitleVariations on
Split Plot and Split Block Experiment
Designs by Walter T. Federer; Freedom
King . . . . . . . . . . . . . . . . . . 258--259
Anonymous Book Reviews . . . . . . . . . . . . . . 258--264
Sévérien Nkurunziza Book Review: \booktitleCorrelated Data
Analysis: Modeling, Analytics, and
Applications by Peter X.-K. Song . . . . 259--259
Dipankar Bandyopadhyay Book Review: \booktitleMultiscale
Modeling: A Bayesian Perspective by
Marco A. R. Ferreira; Herbert K. H. Lee 259--260
Adriana Horníková Book Review: \booktitleStochastic
Control of Hereditary Systems and
Applications by Mou-Hsiung Chang . . . . 260--261
Subir Ghosh Book Review: \booktitleOptimal
Statistical Inference in Financial
Engineering by Masanobu Taniguchi;
Junichi Hirukawa; Kenichiro Tamaki . . . 261--261
David J. Olive Book Review: \booktitleSoftware for Data
Analysis: Programming With R by J. M.
Chambers . . . . . . . . . . . . . . . . 261--261
Dean V. Neubauer Book Review: \booktitleDesign of
Comparative Experiments by R. A. Bailey 261--263
S. E. Ahmed Book Review: \booktitleEncyclopedia of
Statistics in Quality and Reliability by
Fabrizio Ruggeri; Ron S. Kenett;
Frederick W. Faltin . . . . . . . . . . 263--263
Myron Hlynka Book Review: \booktitleProbability and
Statistics by Example. Volume 2: Markov
Chains: A Primer in Random Processes and
Their Applications by Yuri Suhov; Mark
Kelbert . . . . . . . . . . . . . . . . 263--263
Anonymous Book Review: \booktitleStatistics
Applied to Clinical Trials (4th ed.) by
Ton J. Cleophas; Aeilko H. Zwinderman;
Toine F. Cleophas; Eugene P. Cleophas 264--264
Anonymous Book Review: \booktitleBiological Data
Mining by Jake Y. Chen; Stefano Lonardi 264--264
Peihua Qiu and
Changliang Zou and
Zhaojun Wang Nonparametric Profile Monitoring by
Mixed Effects Modeling . . . . . . . . . 265--277
Daniel W. Apley [Nonparametric Profile Monitoring by
Mixed Effects Modeling]: Comment . . . . 277--280
Hugh A. Chipman and
R. Jock MacKay and
Stefan H. Steiner [Nonparametric Profile Monitoring by
Mixed Effects Modeling]: Comment . . . . 280--283
F. Tsung [Nonparametric Profile Monitoring by
Mixed Effects Modeling]: Comment . . . . 283--285
William H. Woodall and
Jeffrey B. Birch and
Pang Du [Nonparametric Profile Monitoring by
Mixed Effects Modeling]: Comment . . . . 285--287
Peihua Qiu and
Changliang Zou and
Zhaojun Wang [Nonparametric Profile Monitoring by
Mixed Effects Modeling]: Rejoinder . . . 288--293
Ryan Browne and
Jock MacKay and
Stefan Steiner Leveraged Gauge R&R Studies . . . . . . . 294--302
David Hoffman One-Sided Tolerance Limits for Balanced
and Unbalanced Random Effects Models . . 303--312
Takeshi Emura and
Hsiuying Wang Approximate Tolerance Limits Under
Log-Location-Scale Regression Models in
the Presence of Censoring . . . . . . . 313--323
Javier Cano and
Javier M. Moguerza and
David Ríos Insua Bayesian Reliability, Availability, and
Maintainability Analysis for Hardware
Systems Described Through Continuous
Time Markov Chains . . . . . . . . . . . 324--334
Jin Zhang Improving on Estimation for the
Generalized Pareto Distribution . . . . 335--339
Huiping Xu and
Bruce A. Craig Likelihood Analysis of Multivariate
Probit Models Using a Parameter Expanded
MCEM Algorithm . . . . . . . . . . . . . 340--348
Shifeng Xiong Some Notes on the Nonnegative Garrote 349--361
Stergios B. Fotopoulos Book Review: \booktitleStereology for
Statisticians. Monograph on Statistics
and Applied Probability, Vol. 103 by
Adrian Baddeley; Eva B. Vedel Jensen . . 362--363
Anonymous Book Reviews . . . . . . . . . . . . . . 362--370
Yingwei Peng Book Review: \booktitleNiche Modeling
--- Predictions From Statistical
Distributions by David Stockwell . . . . 363--363
Max Kuhn Book Review: \booktitleLattice:
Multivariate Data Visualization With R
by Deepayan Sarkar . . . . . . . . . . . 363--364
David Booth Book Review: \booktitleComputational
Statistics: An Introduction to R by
Gunther Sawitzki . . . . . . . . . . . . 364--364
Subir Ghosh Book Review: \booktitleAnalyzing
Receiver Operating Characteristic Curves
With SAS by Mithat Gonena . . . . . . . 365--365
Lianfen Qian Book Review: \booktitleTime Series
Analysis With Applications in R (2nd
ed.) by Jonathan D. Cryer; Kung-Sik Chan 365--365
Roger M. Sauter Book Review: \booktitleData Manipulation
With R (1st ed.) by Phil Spector . . . . 365--365
Lawrence Barker Book Review: \booktitleBayesian
Evaluation of Informative Hypotheses by
Herbert Hoijtink; Irene Klugkist; Paul
A. Boelen . . . . . . . . . . . . . . . 365--366
Stergios B. Fotopoulos Book Review: \booktitleMarkov Processes,
Gaussian Processes and Local Times by
Michael B. Marcus; Jay Rosen . . . . . . 366--366
Adriana Horníková Book Review: \booktitleAnalysis,
Geometry, and Modeling in Finance ---
Advanced Methods in Option Pricing by
Pierre Henry-Labord\`ere . . . . . . . . 366--367
Timothy C. Coburn Book Review: \booktitlePractical
Geostatistics 2000 Series --- Case
Studies 2009 by Isobel Clark; William V.
Harper . . . . . . . . . . . . . . . . . 367--367
David Booth Book Review: \booktitleBayesian
Biostatistics and Diagnostic Medicine by
Lyle D. Broemeling . . . . . . . . . . . 367--368
Anonymous Book Review: \booktitleSimulation and
the Monte Carlo Method (2nd ed.) by
Rueven Y. Rubinstein; Dirk P. Kroese . . 368--368
Anonymous Book Review: \booktitleStatistical
Modelling and Regression Structures ---
Festschrift in Honour of Ludwig Fahrmeir
by Thomas Kneib; Gerhard Tutz . . . . . 368--368
Anonymous Book Review: \booktitleStatistical
Methods for the Evaluation of
Educational Services and Quality of
Products by Matilde Bini; Paola Monari;
Domenico Piccolo; Luigi Salmaso . . . . 368--369
Anonymous Book Review: \booktitleThe Pleasure of
Statistics --- The Autobiography of
Frederick Mosteller by Stephen E.
Fienberg; David C. Hoaglin; Judith M.
Tanur . . . . . . . . . . . . . . . . . 369--369
Anonymous Book Review: \booktitleError and
Inference: Recent Exchanges on
Experimental Reasoning, Reliability, and
the Objectivity and Rationality of
Science by Deborah G. Mayo; Aris Spanos 369--369
Anonymous Book Review: \booktitleStatistical
Analysis of Management Data (2nd ed.) by
Hubert Gatignon . . . . . . . . . . . . 369--370
Anonymous Book Review: \booktitleAdvances in Data
Analysis --- Theory and Applications to
Reliability and Inference, Data Mining,
Bioinformatics, Lifetime Data, and
Neural Networks by Christos H. Skiadas 370--370
Anonymous Announcement of Ziegel Prize . . . . . . 371--371
Anonymous The 2009 \booktitleTechnometrics Prizes 373--375
David M. Steinberg Editor's Report . . . . . . . . . . . . 376--378
J. Brian Hall and
Paul M. Ellner and
Ali Mosleh Reliability Growth Management Metrics
and Statistical Methods for Discrete-Use
Systems . . . . . . . . . . . . . . . . 379--389
Donald P. Gaver and
Patricia A. Jacobs [Reliability Growth Management Metrics
and Statistical Methods for Discrete-Use
Systems]: Comment . . . . . . . . . . . 389--391
Patrick D. T. O'Connor [Reliability Growth Management Metrics
and Statistical Methods for Discrete-Use
Systems]: Comment . . . . . . . . . . . 391--392
Ananda Sen and
Arthur Fries [Reliability Growth Management Metrics
and Statistical Methods for Discrete-Use
Systems]: Comment . . . . . . . . . . . 393--395
Nozer D. Singpurwalla [Reliability Growth Management Metrics
and Statistical Methods for Discrete-Use
Systems]: Comment . . . . . . . . . . . 396--397
Alyson G. Wilson and
Christine M. Anderson-Cook [Reliability Growth Management Metrics
and Statistical Methods for Discrete-Use
Systems]: Comment . . . . . . . . . . . 397--400
J. Brian Hall and
Paul M. Ellner and
Ali Mosleh [Reliability Growth Management Metrics
and Statistical Methods for Discrete-Use
Systems]: Rejoinder . . . . . . . . . . 401--408
Xianggui Qu Optimal Row-Column Designs in
High-Throughput Screening Experiments 409--420
Holger Dette and
Andrey Pepelyshev Generalized Latin Hypercube Design for
Computer Experiments . . . . . . . . . . 421--429
Dorin Drignei Functional ANOVA in Computer Models With
Time Series Output . . . . . . . . . . . 430--437
Panagiotis Tsiamyrtzis and
Douglas M. Hawkins Bayesian Startup Phase Mean Monitoring
of an Autocorrelated Process That Is
Subject to Random Sized Jumps . . . . . 438--452
Bing Xing Wang and
Keming Yu and
M. C. Jones Inference under progressively Type II
right-censored sampling for certain
lifetime distributions . . . . . . . . . 453--460
Dipankar Bandyopadhyay Book Review: \booktitleMeasuring
Efficiency in Health Care: Analytic
Techniques and Health Policy by Rowena
Jacobs; Peter C. Smith; Andrew Street 461--462
Anonymous Book Reviews . . . . . . . . . . . . . . 461--470
Keying Ye Book Review: \booktitleStatistical
Design by George Casella . . . . . . . . 462--462
Stan Lipovetsky Book Review: \booktitleComputational
Methods of Feature Selection by Huan
Liu; Hiroshi Motoda . . . . . . . . . . 462--463
Hongfei Li Book Review: \booktitleBayesian Disease
Mapping --- Hierarchical Modeling in
Spatial Epidemiology by Andrew B. Lawson 463--463
Charles Heckler Book Review: \booktitleMedical
Applications of Finite Mixture Models by
Peter Schlattmann . . . . . . . . . . . 463--464
David J. Olive Book Review: \booktitleMixed Effects
Models and Extensions in Ecology With R
by A. F. Zuur; E. N. Ieno; N. J. Walker;
A. A. Saveliev; G. M. Smith . . . . . . 464--465
Willis A. Jensen Book Review: \booktitleBasic Concepts of
Probability and Statistics in the Law by
Michael O. Finkelstein . . . . . . . . . 465--465
Lewis VanBrackle Book Review: \booktitleA Comprehensive
Guide to Factorial Two-Level
Experimentation by Robert W. Mee . . . . 465--465
Tom Burr Book Review: \booktitleFunctional Data
Analysis With R and MATLAB by J. Ramsay;
G. Hooker; S. Graves . . . . . . . . . . 466--466
Lianfen Qian Book Review: \booktitleROC Curves for
Continuous Data by Wojtek J. Krzanowski;
David J. Hand . . . . . . . . . . . . . 466--466
Mark A. McComb Book Review: \booktitleInterpreting
Economic and Social Data by Othmar W.
Winkler . . . . . . . . . . . . . . . . 466--467
Nicole Lazar Book Review: \booktitleElementary
Probability for Applications by Rick
Durrett . . . . . . . . . . . . . . . . 467--468
Stan Lipovetsky Book Review: \booktitleIntroduction to
Multivariate Statistical Analysis in
Chemometrics by Kurt Varmuza; Peter
Filzmoser . . . . . . . . . . . . . . . 468--469
Anonymous Book Review: \booktitleAdvances in
Degradation Modeling: Applications to
Reliability, Survival Analysis, and
Finance (Statistics for Industry and
Technology) by M. S. Nikulin; Nikolaos
Limnios; N. Balakrishnan; Waltraud
Kahle; Catherine Huber-Carol . . . . . . 469--469
Anonymous Book Review: \booktitleAlgebraic and
Geometric Methods in Statistics by Paolo
Gibilisco; Eva Riccomagno; Maria Piera
Rogantin; Henry P. Wynn . . . . . . . . 469--469
Anonymous Book Review: \booktitleCausality ---
Models, Reasoning, and Inference (2nd
ed.) by Judea Pearl . . . . . . . . . . 469--470
Anonymous Book Review: \booktitlePrice Indexes in
Time and Space --- Methods and Practice
by Luigi Biggeri; Guido Ferrari . . . . 470--470
Anonymous Book Review: \booktitleIntroduction to
Machine Learning (2nd ed.) by Ethem
Alpaydin . . . . . . . . . . . . . . . . 470--470
Anonymous Editorial Collaborators . . . . . . . . 471--472
Anonymous Index to Volume 52 (2010) . . . . . . . 473--476
Enrique del Castillo and
Bianca M. Colosimo Statistical Shape Analysis of
Experiments for Manufacturing Processes 1--15
Mark Fielding and
David J. Nott and
Shie-Yui Liong Efficient MCMC Schemes for
Computationally Expensive Posterior
Distributions . . . . . . . . . . . . . 16--28
P. C. Young and
M. Ratto Statistical Emulation of Large Linear
Dynamic Models . . . . . . . . . . . . . 29--43
Ricardo A. Maronna Robust Ridge Regression for
High-Dimensional Data . . . . . . . . . 44--53
Ryan J. Tibshirani and
Holger Hoefling and
Robert Tibshirani Nearly-Isotonic Regression . . . . . . . 54--61
Bradley Jones and
Christopher J. Nachtsheim Efficient Designs With Minimal Aliasing 62--71
K. Krishnamoorthy and
Avishek Mallick and
Thomas Mathew Inference for the lognormal mean and
quantiles based on samples with left and
right Type I censoring . . . . . . . . . 72--83
Changliang Zou and
Fugee Tsung A Multivariate Sign EWMA Control Chart 84--97
Anonymous Book Reviews . . . . . . . . . . . . . . 98--108
Subir Ghosh Book Review: \booktitleComparing
Distributions by Olivier Thas . . . . . 99--99
Sailes K. Sengupta Book Review: \booktitleDigital Noise
Monitoring of Defect Origin by Telman
Aliev . . . . . . . . . . . . . . . . . 99--99
Weiming Ke Book Review: \booktitleSAS for Data
Analysis --- Intermediate Statistical
Methods by Mervyn Marasinghe; William
Kennedy . . . . . . . . . . . . . . . . 99--100
Michael R. Chernick Book Review: \booktitleStatistical and
Computational Pharmacogenomics by
Rongling Wu; Min Lin . . . . . . . . . . 100--100
J. Douglas Barrett Book Review: \booktitleMathematics and
Politics: Strategy, Voting, Power, and
Proof by Alan Taylor; Allison Pacelli 100--101
Roger M. Sauter Book Review: \booktitleR for SAS and
SPSS Users (1st ed) by Robert A.
Muenchen . . . . . . . . . . . . . . . . 101--101
Chris Andrews Book Review: \booktitleClinical
Prediction Models: A Practical Approach
to Development, Validation, and Updating
by Ewout W. Steyerberg . . . . . . . . . 101--102
Donald E. Myers Book Review: \booktitleQuantitative Fund
Management by M. A. H. Dempster; Gautam
Mitra; Georg Pflug . . . . . . . . . . . 102--103
H. N. Nagaraja \booktitleScan Statistics: Methods and
Applications by Joseph Glaz; Vladimir
Pozdnyakov; Sylvan Wallenstein . . . . . 103--103
Thomas D. Sandry Book Review: \booktitleAn Intermediate
Course in Probability (2nd ed.) by Allan
Gut . . . . . . . . . . . . . . . . . . 103--104
Melvin Hinich Book Review: \booktitleComputational
Statistics by James Gentle . . . . . . . 104--104
Mark Bailey Book Review: \booktitleA Beginner's
Guide to R by Alain F. Zuur; Elena N.
Ieno; Erik H. W. G. Meesters . . . . . . 105--105
Weiming Ke PROC SQL by Example --- Using SQL Within
SAS by Howard Schreier . . . . . . . . . 105--105
Peter Wludyka and
Carmen Masnita-Iusan Book Review: \booktitleMathematical and
Statistical Estimation Approaches in
Epidemiology by Gerardo Chowell; James
M. Hyman; Luis M. A. Bettencourt; Carlos
Castillo-Chavez . . . . . . . . . . . . 105--106
Matthew C. Wiener Book Review: \booktitleDesign & Analysis
of Vaccine Studies by M. E. Halloran; I.
M. Longini; C. J. Struchiner . . . . . . 106--107
Anonymous Book Review: \booktitleApplied
Probability (2nd ed.) by Kenneth Lange 107--107
Anonymous Book Review: \booktitleStatistical Data
Mining Using SAS Applications by George
Fernandez . . . . . . . . . . . . . . . 107--107
William Seaver Book Review: \booktitleA SAS/IML
Companion for Linear Models by Jamis J.
Perret . . . . . . . . . . . . . . . . . 107--107
Anonymous Book Review: \booktitleTesting
Statistical Hypotheses of Equivalence
and Noninferiority (2nd ed.) by Stefan
Wellek . . . . . . . . . . . . . . . . . 107--108
P. Ranjan and
D. Bingham and
G. Michailidis Errata: ``Sequential experiment design
for contour estimation from complex
computer codes'' [MR2655651] . . . . . . 109--110
Daksha Chokshi Announcement of 2011 Hunter Award . . . 111--111
Chae Young Lim and
Sarat C. Dass Assessing Fingerprint Individuality
Using EPIC: A Case Study in the Analysis
of Spatially Dependent Marked Processes 112--124
Lulu Kang and
V. Roshan Joseph and
William A. Brenneman Design and Modeling Strategies for
Mixture-of-Mixtures Experiments . . . . 125--136
Andrés M. Alonso and
Carolina García-Martos and
Julio Rodríguez and
María Jesús Sánchez Seasonal Dynamic Factor Analysis and
Bootstrap Inference: Application to
Electricity Market Forecasting . . . . . 137--151
Garritt L. Page and
David B. Dunson Bayesian Local Contamination Models for
Multivariate Outliers . . . . . . . . . 152--162
Scott Vander Wiel and
Alyson Wilson and
Todd Graves and
Shane Reese A Random Onset Model for Degradation of
High-Reliability Systems . . . . . . . . 163--172
David C. Woods and
Peter van de Ven Blocked Designs for Experiments With
Correlated Non-Normal Response . . . . . 173--182
Monica Reising and
Max Morris and
Stephen Vardeman and
Shawn Higbee Modeling Spectral\-Temporal Data From
Point Source Events . . . . . . . . . . 183--195
Partha Sarathi Mukherjee and
Peihua Qiu $3$-D Image Denoising by Local Smoothing
and Nonparametric Regression . . . . . . 196--208
Anonymous Book Reviews . . . . . . . . . . . . . . 209--223
Dipankar Bandyopadhyay Book Review: \booktitleBayesian
Econometric Methods by Gary Koop; Dale
J. Poirier; Justin L. Tobias . . . . . . 210--210
Jin-Hong Park Book Review: \booktitleData Clustering:
Theory, Algorithms, and Applications by
Guojun Gan; Chaoqun Ma; Jianhong Wu . . 210--210
Adriana Horníková Book Review: \booktitleSupport Vector
Machines by Ingo Stewart; Andreas
Christman . . . . . . . . . . . . . . . 210--211
Ranjan Maitra Book Review: \booktitleThe Statistical
Analysis of Functional MRI Data by
Nicole A. Lazar . . . . . . . . . . . . 211--212
Tom Burr and
Claire Longo Book Review: \booktitleWavelet Methods
in Statistics With R by G. P. Nason . . 212--213
Hon Keung Tony Ng Book Review: \booktitleIntroduction to
Scientific Programming and Simulation
Using R by Owen Jones; Robert
Maillardet; Andrew Robinson . . . . . . 213--214
David J. Olive Book Review: \booktitleLinear Model
Methodology by A. I. Khuri . . . . . . . 214--214
Jürgen Symanzik Book Review: \booktitleIntroduction to
Data Technologies by Paul Murrell . . . 214--215
Adriana Hornikova Book Review: \booktitleStatistical
Methods for Disease Clustering by
Toshiro Tango . . . . . . . . . . . . . 215--216
Andreas Rosenblad Book Review: \booktitleLogistic
Regression Models by Joseph M. Hilbe . . 216--216
Thomas Bzik Book Review: \booktitleJust Enough
SAS\reg: A Quick-Start Guide to SAS\reg
for Engineers by Robert A. Rutledge . . 216--217
Dean V. Neubauer Book Review: \booktitleIntroducing Monte
Carlo Methods With R by Christian P.
Robert; George Casella . . . . . . . . . 217--218
Shon Magnan Book Review: \booktitleBayesian Analysis
for the Social Sciences by Simon Jackman 218--218
Richard Goldstein Book Review: \booktitleDesign of
Observational Studies by Paul R.
Rosenbaum . . . . . . . . . . . . . . . 218--219
Stan Lipovetsky Book Review: \booktitleEpidemics and
Rumours in Complex Networks by Moez
Draief; Laurent Massoulie . . . . . . . 219--220
Willis A. Jensen Book Review: \booktitleFrontiers in
Statistical Quality Control #9 by H. J.
Lenz; P. H. Wilrich; W. Schmid . . . . . 220--220
Donald E. Myers Book Review: \booktitleRegression
Modeling With Actuarial and Financial
Applications by Edward W. Frees . . . . 220--220
Charles E. Heckler Book Review: \booktitleSAS and R: Data
Management, Statistical Analysis and
Graphics by Ken Kleinman; Nicholas J.
Horton . . . . . . . . . . . . . . . . . 221--221
David J. Olive Book Review: \booktitleFundamentals of
Modern Statistical Methods (2nd ed.) by
R. R. Wilcox . . . . . . . . . . . . . . 221--221
Myron Hlynka Book Review: \booktitleStochastic
Processes (3rd ed.) by J. Medhi . . . . 221--222
Anonymous Book Review: \booktitleNumerical
Analysis for Statisticians (2nd ed.) by
Kenneth Lange . . . . . . . . . . . . . 222--222
Anonymous Book Review: \booktitleSelected Works of
R. M. Dudley by Evarist Gine; Vladimir
Koltchinskii; Rimas Norvaisa . . . . . . 222--222
Anonymous Book Review: \booktitleFrontiers of
Statistical Decision Making and Bayesian
Analysis --- In Honor of James O. Berger
by Ming-Hui Chen; Dipak K. Dey; Peter
Muller; Dongchu Sun; Keying Ye . . . . . 222--222
Anonymous Book Review: \booktitleFundamentals of
Clinical Trials (4th ed.) by Lawrence M.
Friedman; Curt D. Furberg; David L.
DeMets . . . . . . . . . . . . . . . . . 222--223
Anonymous Book Review: \booktitleSelected Works of
C. C. Heyde by Ross Maller; Ishwar
Basawa; Peter Hall; Eugene Seneta . . . 223--223
Mark A. Wolters and
Derek Bingham Simulated Annealing Model Search for
Subset Selection in Screening
Experiments . . . . . . . . . . . . . . 225--237
Richard Charnigo and
Benjamin Hall and
Cidambi Srinivasan A Generalized $ C_p $ Criterion for
Derivative Estimation . . . . . . . . . 238--253
V. Roshan Joseph and
Lulu Kang Regression-Based Inverse Distance
Weighting With Applications to Computer
Experiments . . . . . . . . . . . . . . 254--265
Qiang Zhou and
Peter Z. G. Qian and
Shiyu Zhou A Simple Approach to Emulation for
Computer Models With Qualitative and
Quantitative Factors . . . . . . . . . . 266--273
David J. Edwards Optimal Semifoldover Plans for Two-Level
Orthogonal Designs . . . . . . . . . . . 274--284
Giovanna Capizzi and
Guido Masarotto A Least Angle Regression Control Chart
for Multidimensional Data . . . . . . . 285--296
Changliang Zou and
Wei Jiang and
Fugee Tsung A LASSO-Based Diagnostic Framework for
Multivariate Statistical Process Control 297--309
Aline A. Nobre and
Bruno Sansó and
Alexandra M. Schmidt Spatially Varying Autoregressive
Processes . . . . . . . . . . . . . . . 310--321
Michael R. Chernick Book Review: \booktitleBayesian Adaptive
Methods for Clinical Trials by Scott M.
Berry; Bradley P. Carlin; J. Jack Lee;
Peter Müller . . . . . . . . . . . . . . 322--323
Anonymous Book Reviews . . . . . . . . . . . . . . 322--331
Adriana Horníková Book Review: \booktitleLectures on
Algebraic Statistics. Oberwolfach
Seminars, Vol. 39 by Mathias Drton;
Bernd Sturmfels; Seth Sullivant . . . . 323--323
Richard Goldstein Book Review: \booktitleBias and
Causation: Models and Judgment for Valid
Comparisons by Herbert I. Weisberg . . . 323--324
Subir Ghosh Book Review: \booktitleLinear Mixed
Models for Longitudinal Data by Geert
Verbeke; Geert Molenberghs . . . . . . . 324--324
Donald E. Myers Book Review: \booktitleTheory of
Stochastic Processes: With Applications
to Financial Mathematics and Risk Theory
by Dmytro Gusak; Alexander Kukush;
Alexey Kulik; Yuliya Mishura; Andrey
Pilipenko . . . . . . . . . . . . . . . 324--325
Ali Cinar Book Review: \booktitleRandom Phenomena:
Fundamentals of Probability and
Statistics for Engineers by Babatunde A.
Ogunnaike . . . . . . . . . . . . . . . 325--326
Stan Lipovetsky Book Review: \booktitleRegression With
Linear Predictors by Per Kragh Andersen;
Lene Theil Skovgaard . . . . . . . . . . 326--326
Marvin H. J. Gruber Book Review: \booktitleA Comparison of
the Bayesian and Frequentist Approaches
to Estimation by Francisco J. Samaniego 326--327
Mariano Ruiz Espejo Book Review: \booktitleIndirect Sampling
by Pierre Lavallée . . . . . . . . . . . 327--327
Nicole Lazar Book Review: \booktitleIntroduction to
Probability Simulation and Gibbs
Sampling With R by Eric A. Suess; Bruce
E. Trumbo . . . . . . . . . . . . . . . 327--327
Michael R. Chernick Book Review: \booktitleMultiple
Comparisons Using R by Frank Bretz;
Torsten Hothorn; Peter Westfall . . . . 327--328
William Seaver Book Review: \booktitleTime Series:
Modeling, Computation, and Inference by
Raquel Prado; Mike West . . . . . . . . 328--328
Adriana Horníková Book Review: \booktitleStatistical
Machine Translation by Philipp Koehn . . 328--329
Stan Lipovetsky Book Review: \booktitleNetworks, Crowds,
and Markets: Reasoning About a Highly
Connected World by David Easley; Jon
Kleinberg . . . . . . . . . . . . . . . 329--330
Xianggui Qu Book Review: \booktitleTheoretical
Statistics: Topics for a Core Course by
Robert W. Keener . . . . . . . . . . . . 330--330
Anonymous Classification as a Tool for Research:
\booktitleProceedings of the 11th IFCS
Biennial Conference and 33rd Annual
Conference of the Gesellschaft für \ldots
Data Analysis, and Knowledge
Organization by Hermann Locarek-Junge;
Claus Weihs . . . . . . . . . . . . . . 330--331
Anonymous Book Review: \booktitleData Analysis and
Classification by Francesco Palumbo;
Carlo Natale Lauro; Michael J. Greenacre 331--331
Anonymous Announcement of Ziegel Prize . . . . . . 332--332
Anonymous The 2010 \booktitleTechnometrics Prizes 333--335
Hugh A. Chipman Editor's Report . . . . . . . . . . . . 336--338
Ben M. Parker and
Steven G. Gilmour and
John A. Schormans Design of Experiments for Categorical
Repeated Measurements in Packet
Communication Networks . . . . . . . . . 339--352
Lu Lu and
Christine M. Anderson-Cook and
Timothy J. Robinson Optimization of Designed Experiments
Based on Multiple Criteria Utilizing a
Pareto Frontier . . . . . . . . . . . . 353--365
Pritam Ranjan and
Ronald Haynes and
Richard Karsten A Computationally Stable Approach to
Gaussian Process Interpolation of
Deterministic Computer Simulation Data 366--378
Gordon J. Ross and
Dimitris K. Tasoulis and
Niall M. Adams Nonparametric Monitoring of Data Streams
for Changes in Location and Scale . . . 379--389
Peihua Qiu and
Zhonghua Li On Nonparametric Statistical Process
Control of Univariate Processes . . . . 390--405
Line Clemmensen and
Trevor Hastie and
Daniela Witten and
Bjarne Ersbòll Sparse Discriminant Analysis . . . . . . 406--413
Amanda S. Hering and
Marc G. Genton Comparing Spatial Predictions . . . . . 414--425
Jin-Ting Zhang Two-Way MANOVA With Unequal Cell Sizes
and Unequal Cell Covariance Matrices . . 426--439
Snigdhansu Chatterjee Book Review: \booktitleRandom Networks
for Communication by Massimo
Franceschetti; Ronald Meester . . . . . 440--440
Pradipta Sarkar Book Review: \booktitleAnalyzing and
Interpreting Continuous Data Using JMP:
A Step-by-Step Guide by Jose G. Ramirez;
Brenda S. Ramirez . . . . . . . . . . . 440--441
Anonymous Book Reviews . . . . . . . . . . . . . . 440--447
Adriana Horníková Book Review: \booktitleAnalysing
Seasonal Health Data (Series for Biology
and Health) by Adrian G. Barnett;
Annette J. Dobson . . . . . . . . . . . 441--442
Richard Goldstein \booktitleR for Stata Users by Robert A.
Muenchen; Joseph M. Hilbe . . . . . . . 442--442
Z. Q. John Lu Book Review: \booktitlePerturbation
Bounds for Matrix Eigenvalues by
Rajendra Bhatia . . . . . . . . . . . . 443--443
Tom Burr Book Review: \booktitleStatistical
Inference --- An Integrated
Bayesian/Likelihood Approach by Murray
Aitken . . . . . . . . . . . . . . . . . 443--444
Tena I. Katsaounis Book Review: \booktitleMixed Effects
Model for Complex Data by Lang Wu . . . 444--445
Adriana Horníková Book Review: \booktitleStatistics for
Sensory and Consumer Science by Tormod
Naes; Per B. Brockhoff; Oliver Tomic . . 445--446
Anonymous Book Review: \booktitleRegression
Estimators --- A Comparative Study (2nd
ed.) by Marvin H. J. Gruber . . . . . . 446--446
Anonymous Book Review: \booktitleSelected Works of
Debabrata Basu by Anirban DasGupta . . . 446--447
Anonymous Book Review: \booktitleProbability
Theory --- An Analytic View (2nd ed.) by
Daniel W. Stroock . . . . . . . . . . . 447--447
Anonymous Book Review: \booktitleA First Course in
Statistics for Signal Analysis (2nd ed.)
by Wojbor A. Woyczynski . . . . . . . . 447--447
Anonymous Book Review: \booktitleRobust
Nonparametric Statistical Methods (2nd
ed.) by Thomas P. Hettmansperger; Joseph
W. McKean . . . . . . . . . . . . . . . 447--447
Anonymous Editorial Collaborators . . . . . . . . 448--449
Anonymous Index to Volume 53 (2011) . . . . . . . 450--453
Amy J. Braverman and
Eric J. Fetzer and
Brian H. Kahn and
Evan M. Manning and
Robert B. Oliphant and
Joao P. Teixeira Massive Dataset Analysis for NASA's
Atmospheric Infrared Sounder . . . . . . 1--15
Lasse Holmström and
Leena Pasanen Bayesian Scale Space Analysis of
Differences in Images . . . . . . . . . 16--29
Robert B. Gramacy and
Heng Lian Gaussian Process Single-Index Models as
Emulators for Computer Experiments . . . 30--41
Max D. Morris Gaussian Surrogates for Computer Models
With Time-Varying Inputs and Outputs . . 42--50
Matthias H. Y. Tan and
C. F. Jeff Wu Robust Design Optimization With
Quadratic Loss Derived From Gaussian
Process Models . . . . . . . . . . . . . 51--63
James M. McGree and
John A. Eccleston Robust Designs for Poisson Regression
Models . . . . . . . . . . . . . . . . . 64--72
Marit Schoonhoven and
Ronald J. M. M. Does A Robust Standard Deviation Control
Chart . . . . . . . . . . . . . . . . . 73--82
Ying Sun and
Jeffrey D. Hart and
Marc G. Genton Nonparametric Inference for Periodic
Sequences . . . . . . . . . . . . . . . 83--96
Michael Frey Book Review: \booktitleStatistical
Analysis of Network Data by Eric D.
Kolaczyk . . . . . . . . . . . . . . . . 97--98
Anonymous Book Reviews . . . . . . . . . . . . . . 97--106
Richard P. Heydorn Book Review: \booktitleA First Course in
Bayesian Statistical Methods by Peter D.
Hoff . . . . . . . . . . . . . . . . . . 98--99
Debarun Bhattacharjya Book Review: \booktitleProbabilistic
Graphical Models: Principles and
Techniques by Daphne Koller; Nir
Friedman . . . . . . . . . . . . . . . . 99--99
Mark A. McComb Book Review: \booktitleFundamentals of
Probability: A First Course by Anirban
DasGupta . . . . . . . . . . . . . . . . 100--100
Lori Pfahler Book Review: \booktitleA Handbook of
Statistical Analyses Using R (2nd ed.)
by Brian S. Everitt; Torsten Hothorn . . 100--100
Mark A. McComb Book Review: \booktitleLarge Sample
Techniques for Statistics by Jiming
Jiang . . . . . . . . . . . . . . . . . 100--101
Ramesh Natarajan Book Review: \booktitleComposite
Sampling --- A Novel Method to
Accomplish Observational Economy in
Environmental Studies by Ganapati P.
Patil; Sharad D. Gore; Charles Taillie 101--102
Adriana Horníková Book Review: \booktitleSelected Works in
Probability and Statistics --- Works of
Donald L. Burkholder by Burgess Davis;
Renming Song . . . . . . . . . . . . . . 102--102
Jeffrey E. Jarrett Book Review: \booktitleStatistical Tools
for Finance and Insurance, (2nd ed.) by
P. Cizek; W. K. Hardle; R. Weron . . . . 102--102
Adriana Horníková Book Review: \booktitleQuantitative Risk
Assessment (The Scientific Platform) by
Terje Aven . . . . . . . . . . . . . . . 102--103
Donald Myers Book Review: \booktitleFinite
Mathematics for Business, Economics,
Life Sciences, and Social Sciences by
Raymond A. Barnett; Michael R. Ziegler;
Karl E. Byleen . . . . . . . . . . . . . 103--104
Jim Rutherford Book Review: \booktitleSAS\reg
Programming for Enterprise Guide\reg
Users (2nd ed.) by Neil Constable . . . 104--104
Adriana Horníková Book Review: \booktitleSelected Works of
M. Rosenblatt by Richard A. Davis;
Keh-Shin Lii; Dimitris N. Politis . . . 104--105
Anonymous Book Review: \booktitlePractical
Multivariate Analysis (5th ed.) by
Abdelmomem Afifi; Susanne May; Virginia
A. Clark . . . . . . . . . . . . . . . . 105--105
Anonymous Book Review: \booktitleSpectral Analysis
of Large Dimensional Random Matrices
(2nd ed.) by Zhidong Bai; Jack W.
Silverstein . . . . . . . . . . . . . . 105--105
Anonymous Book Review: \booktitleComplex Data
Modeling and Computationally Intensive
Statistical Methods by Pietro Mantovan;
Piercesare Secch . . . . . . . . . . . . 105--106
Anonymous Book Review: \booktitleRecent Advances
in Functional Data Analysis and Related
Topics by Frederic Ferraty . . . . . . . 106--106
Anonymous Book Review: \booktitleApplied
Reliability (3rd ed.) by Paul A. Tobias;
David C. Trindade . . . . . . . . . . . 106--106
Daksha Chokshi Announcement of 2012 Hunter Award . . . 107--107
Huijing Jiang and
Nicoleta Serban Clustering Random Curves Under Spatial
Interdependence With Application to
Service Accessibility . . . . . . . . . 108--119
Ciprian M. Crainiceanu and
Ana-Maria Staicu [Clustering Random Curves Under Spatial
Interdependence With Application to
Service Accessibility]: Comment . . . . 120--122
C. B. Dean and
Cindy X. Feng [Clustering Random Curves Under Spatial
Interdependence With Application to
Service Accessibility]: Comment . . . . 122--123
Gareth M. James and
Wenguang Sun and
Xinghao Qiao [Clustering Random Curves Under Spatial
Interdependence With Application to
Service Accessibility]: Comment . . . . 123--126
Bo Li and
Xiao Wang [Clustering Random Curves Under Spatial
Interdependence With Application to
Service Accessibility]: Comment . . . . 127--128
Jiaping Wang and
Haipeng Shen and
Hongtu Zhu [Clustering Random Curves Under Spatial
Interdependence With Application to
Service Accessibility]: Comment . . . . 129--133
Huijing Jiang and
Nicoleta Serban [Clustering Random Curves Under Spatial
Interdependence With Application to
Service Accessibility]: Rejoinder . . . 134--137
John H. J. Einmahl and
Maria Gantner The Half-Half Plot . . . . . . . . . . . 138--146
Jerald F. Lawless and
Candemìr Çi\ug\csar and
Richard J. Cook Testing for Monotone Trend in Recurrent
Event Processes . . . . . . . . . . . . 147--158
Zhi-Sheng Ye and
Min Xie and
Loon-Ching Tang and
Yan Shen Degradation-Based Burn-In Planning Under
Competing Risks . . . . . . . . . . . . 159--168
Danel Dragulji\'c and
Thomas J. Santner and
Angela M. Dean Noncollapsing Space-Filling Designs for
Bounded Nonrectangular Regions . . . . . 169--178
Emanuel Winterfors and
Andrew Curtis A Bifocal Measure of Expected Ambiguity
in Bayesian Nonlinear Parameter
Estimation . . . . . . . . . . . . . . . 179--190
Huaiqing Wu and
Robert Mee and
Boxin Tang Fractional Factorial Designs With
Admissible Sets of Clear Two-Factor
Interactions . . . . . . . . . . . . . . 191--197
Subir Ghosh Book Review: \booktitleAntedependence
Models for Longitudinal Data by Dale L.
Zimmerman; Vicente A. Núñez-Antón . . . . . 198--199
Anonymous Book Reviews . . . . . . . . . . . . . . 198--205
Subir Ghosh Book Review: \booktitleExpansions and
Asymptotics for Statistics by
Christopher G. Small . . . . . . . . . . 199--199
Peihua Qiu Book Review: \booktitleMicroarray Image
Analysis: An Algorithmic Approach by
Karl Fraser; Zidong Wang; Xiaohui Liu 199--199
Richard Goldstein Book Review: \booktitleDynamic Mixed
Models for Familial Longitudinal Data by
Brajendra C. Sutradhar . . . . . . . . . 199--200
Donald E. Myers Book Review: \booktitleNumerical Ecology
with R by Daniel Bocard; François Gillet;
Pierre Legendre . . . . . . . . . . . . 200--201
David J. Olive Book Review: \booktitleProjection
Matrices, Generalized Inverse Matrices,
and Singular Value Decomposition by H.
Yanai; K. Takeuchi; Y. Takane . . . . . 201--201
W. L. Seaver Book Review: \booktitleStatistical
Programming with SAS/IML Software by
Rick Wicklin . . . . . . . . . . . . . . 201--202
Tom Burr Book Review: \booktitleHandbook of
Spatial Statistics by Alan Gelfand;
Peter Diggle; Montserrat Fuentes; Peter
Guttorp . . . . . . . . . . . . . . . . 202--202
Xianggui Qu Book Review: \booktitleNegative Binomial
Regression (2nd ed.) by Joseph M. Hilbe 202--203
Wayne Adams and
Mark Anderson Book Review: \booktitleOptimal
Experimental Design with R by Dieter
Rasch; Jurgen Pilz; L. R. Verdooren;
Albrecht Gebhardt . . . . . . . . . . . 203--203
Stan Lipovetsky Book Review: \booktitleRanking and
Prioritization for Multi-indicator
Systems: Introduction to Partial Order
Applications by Rainer Bruggemann;
Ganapati P. Patil . . . . . . . . . . . 203--204
Anonymous Book Review: \booktitleProbability with
Statistical Applications, 2nd Edition by
Rinaldo B. Schinazi . . . . . . . . . . 204--204
Anonymous Book Review: \booktitleA Beginner's
Guide to Discrete Mathematics, 2nd
Edition by W. D. Wallis . . . . . . . . 204--204
Myron Hlynka Book Review: \booktitleReversibility and
Stochastic Networks by F. P. Kelly . . . 204--204
Hugh A. Chipman In memoriam: Harry Smith, Jr. . . . . . 206--206
V. Roshan Joseph Bayesian Computation Using Design of
Experiments-Based Interpolation
Technique . . . . . . . . . . . . . . . 209--225
Björn Bornkamp Comment: ``Comparison With Iterated
Laplace Approximation'' [MR2967968] . . 225--227
Tirthankar Dasgupta and
Xiao-Li Meng Comment: ``Dolt and Do It Well''
[MR2967968] . . . . . . . . . . . . . . 227--231
Herbert K. H. Lee [Comment: DoIt and Do It Well]: Comment
[MR2967968] . . . . . . . . . . . . . . 231--232
John T. Ormerod and
M. P. Wand [Comment: DoIt and Do It Well]: Comment
[MR2967968] . . . . . . . . . . . . . . 233--236
David M. Steinberg and
Bradley Jones Comment: DoIt --- Some Thoughts on How
to Do It [MR2967968] . . . . . . . . . . 236--238
V. Roshan Joseph [Comment: DoIt --- Some Thoughts on How
to Do It]: Rejoinder . . . . . . . . . . 239--242
Crystal D. Linkletter and
Pritam Ranjan and
C. Devon Lin and
Derek R. Bingham and
William A. Brenneman and
Richard A. Lockhart and
Thomas M. Loughin Compliance Testing for Random Effects
Models With Joint Acceptance Criteria 243--255
Alexis Hannart and
Philippe Naveau An Improved Bayesian Information
Criterion for Multiple Change-Point
Models . . . . . . . . . . . . . . . . . 256--268
J. F. Lawless and
M. J. Crowder and
K.-A. Lee Monitoring Warranty Claims With Cusums 269--278
Daniel W. Apley Posterior Distribution Charts: A
Bayesian Approach for Graphically
Exploring a Process Mean . . . . . . . . 279--293
Matthias H. Y. Tan and
Jianjun Shi A Bayesian Approach for Interpreting
Mean Shifts in Multivariate Quality
Control . . . . . . . . . . . . . . . . 294--307
Guan Yu and
Changliang Zou and
Zhaojun Wang Outlier Detection in Functional
Observations With Applications to
Profile Monitoring . . . . . . . . . . . 308--318
Michael R. Chernick Book Review: \booktitleHandbook of
Markov Chain Monte Carlo by Steve
Brooks; Andrew Gelman; Galin Jones;
Xiao-Li Meng . . . . . . . . . . . . . . 319--320
Anonymous Book Reviews . . . . . . . . . . . . . . 319--331
Peter Wludyka Book Review: \booktitleJMP Means
Business: Statistical Models for
Management by Josef Schmee; Jane E.
Oppenlander . . . . . . . . . . . . . . 320--320
Donald E. Myers Book Review: \booktitleForest Analytics
With R by Andrew P. Robinson; Jeff D.
Hamann . . . . . . . . . . . . . . . . . 320--322
Richard Goldstein Book Review: \booktitleControversial
Statistical Issues in Clinical Trials by
Shein-Chung Chow . . . . . . . . . . . . 322--323
Roger M. Sauter Book Review: \booktitleData Mining With
Rattle and R (1st ed.) by Graham
Williams . . . . . . . . . . . . . . . . 323--324
Mark Bailey Book Review: \booktitleModeling Survival
Data Using Frailty Models by David D.
Hanagal . . . . . . . . . . . . . . . . 324--324
Donald E. Myers Book Review: \booktitleSmoothing Splines
--- Methods and Applications by Yuedong
Wang . . . . . . . . . . . . . . . . . . 324--326
Stan Lipovetsky Book Review: \booktitleUnderstanding
Violence: The Intertwining of Morality,
Religion and Violence: A Philosophical
Stance by Lorenzo Magnani . . . . . . . 326--326
Dean V. Neubauer Book Review: \booktitleThe R Primer by
Claus Thorn Ekstròm . . . . . . . . . . . 326--327
Jeffrey E. Jarrett Book Review: \booktitleExtreme Value
Methods With Applications to Finance by
Serguei Y. Novak . . . . . . . . . . . . 327--327
David J. Olive Book Review: \booktitleA Practitioner's
Guide to Resampling for Data Analysis,
Data Mining, and Modeling by P. I. Good 327--328
A. C. Atkinson Book Review: \booktitleOptimal Design of
Experiments: A Case Study Approach by
Peter Goos; Bradley Jones . . . . . . . 328--329
Dean V. Neubauer Book Review: \booktitleNonparametric
Statistical Tests: A Computational
Approach by Markus Neuhauser . . . . . . 329--330
Anonymous Book Review: \booktitleExploratory Data
Analysis With MATLAB (Second Edition) by
Wendy L. Martinez; Angel R. Martinez;
Jeffrey L. Solka . . . . . . . . . . . . 330--330
Anonymous Book Review: \booktitleSelected Works of
E. L. Lehmann by Javier Rojo . . . . . . 330--330
Anonymous Book Review: \booktitleAnalysis of
Phylogenetic and Evolution With R (2nd
ed.) by Emmanuel Paradis . . . . . . . . 330--331
Anonymous Book Review: \booktitleSurvival Analysis
(3rd ed.) by David G. Kleinbaum; Mitchel
Klein . . . . . . . . . . . . . . . . . 331--331
Hugh A. Chipman Editorial Announcement . . . . . . . . . 333--333
Anonymous The 2011 \booktitleTechnometrics Prizes 334--336
Hugh A. Chipman Editor's Report . . . . . . . . . . . . 337--339
Peter Goos and
Steven G. Gilmour A General Strategy for Analyzing Data
From Split-Plot and Multistratum
Experimental Designs . . . . . . . . . . 340--354
Heidi Arnouts and
Peter Goos Staggered-Level Designs for Experiments
With More Than One Hard-to-Change Factor 355--366
Byran J. Smucker and
Enrique del Castillo and
James L. Rosenberger Model-Robust Two-Level Designs Using
Coordinate Exchange Algorithms and a
Maximin Criterion . . . . . . . . . . . 367--375
Hyejung Moon and
Angela M. Dean and
Thomas J. Santner Two-Stage Sensitivity-Based Group
Screening in Computer Experiments . . . 376--387
Derek Bingham and
Vijayan N. Nair Noise Variable Settings in Robust Design
Experiments . . . . . . . . . . . . . . 388--397
Xiao Liu Planning of Accelerated Life Tests With
Dependent Failure Modes Based on a Gamma
Frailty Model . . . . . . . . . . . . . 398--409
Jessica L. Chapman and
Max D. Morris and
Christine M. Anderson-Cook Computationally Efficient Comparison of
Experimental Designs for System
Reliability Studies With Binomial Data 410--424
Anestis Antoniadis and
Ir\`ene Gijbels and
Anneleen Verhasselt Variable Selection in Additive Models
Using $P$-Splines . . . . . . . . . . . 425--438
Adriana Horníková Book Review: \booktitleA Primer of
Ecology With R by Martin Henry H.
Stevens . . . . . . . . . . . . . . . . 439--440
Anonymous Book Reviews . . . . . . . . . . . . . . 439--446
Snigdhansu Chatterjee Book Review: \booktitleEvolutionary
Statistical Procedures by Roberto
Baragona; Francesco Battaglia; Irene
Poli . . . . . . . . . . . . . . . . . . 440--440
Stan Lipovetsky Book Review: \booktitleStatistical Image
Processing and Multidimensional Modeling
by Paul Fieguth . . . . . . . . . . . . 440--441
Hon Keung Tony Ng Book Review: \booktitleStatistical
Programming in SAS by A. John Bailer . . 441--441
Michael R. Chernick Book Review: \booktitleStatistical
Learning for Biomedical Data by James D.
Malley; Karen G. Malley; Sinisa Pajevic 441--442
Mark A. McComb Book Review: \booktitleBusiness
Analytics for Managers by Wolfgang Jank 442--443
Richard Goldstein Book Review: \booktitleAdaptive and
Flexible Clinical Trials by Richard Chin 443--443
David J. Olive Book Review: \booktitleElements of
Distribution Theory by T. A. Severini 443--443
Stan Lipovetsky Book Review: \booktitleBayesian Logical
Data Analysis for the Physical Sciences:
A Comparative Approach With
Mathematica\TM Support by Phil Gregory 443--444
Dean V. Neubauer Book Review: \booktitleA Concise Guide
to Statistics by Hans-Michael Kaltenbach 444--445
Anonymous Book Review: \booktitleStochastic
Modelling for Systems Biology, 2nd
Edition by Darren J. Wilkinson . . . . . 445--445
Jihnhee Yu Book Review: \booktitleAn Introduction
to Applied Multivariate Analysis With R
by B. Everitt; T. Hothorn . . . . . . . 445--445
Anonymous Book Review: \booktitleStatistics and
Data Analysis for Microarrays Using R
and Bioconductor, 2nd Edition by Sorin
Dräghici . . . . . . . . . . . . . . . . 445--446
Anonymous Book Review: \booktitleSelected Works of
Terry Speed by Sandrine Dudoit . . . . . 446--446
Anonymous Book Review: \booktitleThe Handbook of
Quantitative Criminology by Alex R.
Piquero; David Weisburd . . . . . . . . 446--446
Anonymous Book Review: \booktitleSelected Works of
Willem van Zwet by Sara van de Geer;
Marten Wegkamp . . . . . . . . . . . . . 446--446
Edward A. Sylvestre In Memoriam: William H. Lawton . . . . . 447--447
Anonymous \booktitleTechnometrics Editorial
Collaborators . . . . . . . . . . . . . 448--449
Anonymous Erratum . . . . . . . . . . . . . . . . 450--450
C. D. Linkletter and
P. Ranjan and
C. D. Lin and
D. R. Bingham and
W. A. Brenneman and
R. A. Lockhart and
T. M. Loughin Erratum: ``Compliance Testing for Random
Effects Models with Joint Acceptance
Criteria'' [MR2967975] . . . . . . . . . 450--450
Anonymous 2012 Editorial Board . . . . . . . . . . 451--451
Anonymous CALL FOR PAPERS System Informatics --- A
Special Issue of \booktitleTechnometrics 1--1
Victor Picheny and
David Ginsbourger and
Yann Richet and
Gregory Caplin Quantile-Based Optimization of Noisy
Computer Experiments With Tunable
Precision . . . . . . . . . . . . . . . 2--13
Alexander I. J. Forrester Comment: Properties and Practicalities
of the Expected Quantile Improvement . . 13--18
Robert B. Gramacy Comment: On Advances in Expected
Improvement . . . . . . . . . . . . . . 19--20
Jack P. C. Kleijnen Comment: A Discrete-Event Simulation
Perspective . . . . . . . . . . . . . . 21--24
Pritam Ranjan Comment: EI Criteria for Noisy Computer
Simulators . . . . . . . . . . . . . . . 24--28
Rui Tuo and
Peter Z. G. Qian and
C. F. Jeff Wu Comment: A Brownian Motion Model for
Stochastic Simulation With Tunable
Precision . . . . . . . . . . . . . . . 29--31
Victor Picheny and
David Ginsbourger and
Yann Richet and
Gregory Caplin Rejoinder . . . . . . . . . . . . . . . 31--36
Shifeng Xiong and
Peter Z. G. Qian and
C. F. Jeff Wu Sequential Design and Analysis of
High-Accuracy and Low-Accuracy Computer
Codes . . . . . . . . . . . . . . . . . 37--46
Thomas E. Fricker and
Jeremy E. Oakley and
Nathan M. Urban Multivariate Gaussian Process Emulators
With Nonseparable Covariance Structures 47--56
Tracy Holsclaw and
Bruno Sansó and
Herbert K. H. Lee and
Katrin Heitmann and
Salman Habib and
David Higdon and
Ujjaini Alam Gaussian Process Modeling of Derivative
Curves . . . . . . . . . . . . . . . . . 57--67
Jason L. Loeppky and
Brian J. Williams and
Leslie M. Moore Global Sensitivity Analysis for Mixture
Experiments . . . . . . . . . . . . . . 68--78
Joel Vaughan and
Stilian Stoev and
George Michailidis Network-Wide Statistical Modeling,
Prediction, and Monitoring of Computer
Traffic . . . . . . . . . . . . . . . . 79--93
Rick Picard and
Tom Burr and
Michael S. Hamada Quantile Estimation for Radiation Portal
Monitoring . . . . . . . . . . . . . . . 94--102
V. Roshan Joseph A Note on Nonnegative DoIt Approximation 103--107
Anonymous Book Reviews . . . . . . . . . . . . . . 108--117
J. Stuart Hunter In Memoriam: George E. P. Box . . . . . 119--120
William A. Brenneman Nominations Sought for William G. Hunter
Award . . . . . . . . . . . . . . . . . 121--121
Brian P. Weaver and
William Q. Meeker and
Luis A. Escobar and
Joanne Wendelberger Methods for Planning Repeated Measures
Degradation Studies . . . . . . . . . . 122--134
Yili Hong and
William Q. Meeker Field-Failure Predictions Based on
Failure-Time Data With Dynamic Covariate
Information . . . . . . . . . . . . . . 135--149
Changwon Lim and
Pranab K. Sen and
Shyamal D. Peddada Robust Analysis of High Throughput
Screening (HTS) Assay Data . . . . . . . 150--160
Ke Zhang and
Jacqueline M. Hughes-Oliver and
S. Stanley Young Analysis of High-Dimensional
Structure-Activity Screening Datasets
Using the Optimal Bit String Tree . . . 161--173
Peihua Qiu and
Chen Xing On Nonparametric Image Registration . . 174--188
Jeffrey C. Sklar and
Junqing Wu and
Wendy Meiring and
Yuedong Wang Nonparametric Regression With Basis
Selection From Multiple Libraries . . . 189--201
Christophe Croux and
Peter Filzmoser and
Heinrich Fritz Robust Sparse Principal Component
Analysis . . . . . . . . . . . . . . . . 202--214
Peter Hall and
Fred Lombard and
Cornelis J. Potgieter A New Approach to Function-Based
Hypothesis Testing in Location-Scale
Families . . . . . . . . . . . . . . . . 215--223
Norma Leyva and
Garritt L. Page and
Stephen B. Vardeman and
Joanne R. Wendelberger Bayes Statistical Analyses for Particle
Sieving Studies . . . . . . . . . . . . 224--231
Matthew T. Pratola and
Stephan R. Sain and
Derek Bingham and
Michael Wiltberger and
E. Joshua Rigler Fast Sequential Computer Model
Calibration of Large Nonstationary
Spatial-Temporal Processes . . . . . . . 232--242
Qing Mai and
Hui Zou A Note On the Connection and Equivalence
of Three Sparse Linear Discriminant
Analysis Methods . . . . . . . . . . . . 243--246
Anonymous Book Reviews . . . . . . . . . . . . . . 247--255
Mark C. Albrecht and
Christopher J. Nachtsheim and
Thomas A. Albrecht and
R. Dennis Cook Experimental Design for Engineering
Dimensional Analysis . . . . . . . . . . 257--270
Tim Davis Comment: Dimensional Analysis in
Statistical Engineering . . . . . . . . 271--274
Daniel D. Frey Comment: Dimensional Analysis and
Experimentation as a Catalyst to
Learning From Data . . . . . . . . . . . 275--278
Bradley Jones Comment: Enhancing the Search for
Compromise Designs . . . . . . . . . . . 278--280
Dennis K. J. Lin and
Weijie Shen Comment: Some Statistical Concerns on
Dimensional Analysis . . . . . . . . . . 281--285
Greg F. Piepel Comment: Spurious Correlation and Other
Observations on Experimental Design for
Engineering Dimensional Analysis . . . . 286--289
Matthew Plumlee and
V. Roshan Joseph and
C. F. Jeff Wu Comment: Alternative Strategies for
Experimental Design . . . . . . . . . . 289--292
Mark C. Albrecht and
Thomas A. Albrecht and
Christopher J. Nachtsheim and
R. Dennis Cook Rejoinder . . . . . . . . . . . . . . . 292--295
Tom Burr and
Michael S. Hamada Moving Neutron Source Detection in
Radiation Portal Monitoring . . . . . . 296--308
Mikyoung Jun and
Eun Sug Park Multivariate Receptor Models for
Spatially Correlated Multipollutant Data 309--320
Ronaldo Dias and
Nancy L. Garcia and
Alexandra M. Schmidt A Hierarchical Model for Aggregated
Functional Data . . . . . . . . . . . . 321--334
Oana Danila and
Stefan H. Steiner and
R. Jock MacKay Assessing a Binary Measurement System
With Varying Misclassification Rates
When a Gold Standard Is Available . . . 335--345
Matthias H. Y. Tan Minimax Designs for Finite Design
Regions . . . . . . . . . . . . . . . . 346--358
Matthias H. Y. Tan and
C. F. Jeff Wu A Bayesian Approach for Model Selection
in Fractionated Split Plot Experiments
With Applications in Robust Parameter
Design . . . . . . . . . . . . . . . . . 359--372
Anonymous Corrigendum . . . . . . . . . . . . . . 373--373
Anonymous Book Reviews . . . . . . . . . . . . . . 374--382
Anonymous The 2012 \booktitleTechnometrics Prizes 383--385
Hugh A. Chipman Editor's Report . . . . . . . . . . . . 386--388
Kary Myers Coda Chair and
Earl Lawrence Coda Co-Chair and
Hugh A. Chipman Special Issue: Conference on Data
Analysis (CoDA)-Exploring Data-Focused
Research across the Department of Energy 389--389
Jiqiang Guo and
Alyson G. Wilson and
Daniel J. Nordman Bayesian Nonparametric Models for
Community Detection . . . . . . . . . . 390--402
Joshua Neil and
Curtis Hash and
Alexander Brugh and
Mike Fisk and
Curtis B. Storlie Scan Statistics for the Online Detection
of Locally Anomalous Subgraphs . . . . . 403--414
Matt Taddy Measuring Political Sentiment on
Twitter: Factor Optimal Design for
Multinomial Inverse Regression . . . . . 415--425
Earl Lawrence and
Scott Vander Wiel and
Russell Bent Model Bank State Estimation for Power
Grids Using Importance Sampling . . . . 426--435
Curtis B. Storlie and
Michael L. Fugate and
David M. Higdon and
Aparna V. Huzurbazar and
Elizabeth G. François and
Douglas C. McHugh Methods for Characterizing and Comparing
Populations of Shock Wave Curves . . . . 436--449
Kristin P. Lennox and
Lee G. Glascoe A Bayesian Measurement Error Model for
Misaligned Radiographic Data . . . . . . 450--460
Jiqiang Guo and
Alyson G. Wilson Bayesian Methods for Estimating System
Reliability Using Heterogeneous
Multilevel Information . . . . . . . . . 461--472
Lu Lu and
Jessica L. Chapman and
Christine M. Anderson-cook A Case Study on Selecting a Best
Allocation of New Data for Improving the
Estimation Precision of System and
Subsystem Reliability Using Pareto
Fronts . . . . . . . . . . . . . . . . . 473--487
Dave Higdon and
Jim Gattiker and
Earl Lawrence and
Charles Jackson and
Michael Tobis and
Matt Pratola and
Salman Habib and
Katrin Heitmann and
Steve Price Computer Model Calibration Using the
Ensemble Kalman Filter . . . . . . . . . 488--500
Joslin Goh and
Derek Bingham and
James Paul Holloway and
Michael J. Grosskopf and
Carolyn C. Kuranz and
Erica Rutter Prediction and Computer Model
Calibration Using Outputs From
Multifidelity Simulators . . . . . . . . 501--512
Wei-chen Chen and
George Ostrouchov and
David Pugmire and
Prabhat and
Michael Wehner A Parallel EM Algorithm for Model-Based
Clustering Applied to the Exploration of
Large Spatio-Temporal Data . . . . . . . 513--523
Bryan Stanfill and
Ulrike Genschel and
Heike Hofmann Point Estimation of the Central
Orientation of Random Rotations . . . . 524--535
James Theiler Matched-Pair Machine Learning . . . . . 536--547
Amy B. Lock and
Max D. Morris Significance of Angle in the Statistical
Comparison of Forensic Tool Marks . . . 548--561
Anonymous Book Reviews . . . . . . . . . . . . . . 562--572
Anonymous 2012 Ziegel Award Announcement . . . . . 573--573
Anonymous \booktitleTechnometrics Editorial
Collaborators . . . . . . . . . . . . . 574--575
Anonymous EOV Ed Board . . . . . . . . . . . . . . ebi--ebi
Danel Dragulji\'c and
David C. Woods and
Angela M. Dean and
Susan M. Lewis and
Anna-Jane E. Vine Screening Strategies in the Presence of
Interactions . . . . . . . . . . . . . . 1--16
Christine M. Anderson-Cook and
Michael S. Hamada Comment: Toward Guidelines for
Practitioners on Screening Designs and
Analysis . . . . . . . . . . . . . . . . 16--19
William A. Brenneman Comment: Simulation Used to Solve Tough
Practical Problems . . . . . . . . . . . 19--20
William Li and
Ji Zhu Comment: Model Selection With Strong and
Weak Heredity Constraints . . . . . . . 21--22
Philip R. Scinto and
Robert G. Wilkinson and
Zhen Wang and
Andrew Rose Comment: Need for Guidelines on
Appropriate Screening Designs for
Practitioners . . . . . . . . . . . . . 23--24
David C. Woods and
Susan M. Lewis and
Angela M. Dean and
Danel Dragulji\'c Rejoinder . . . . . . . . . . . . . . . 25--28
L. Allison Jones-Farmer and
Jeremy D. Ezell and
Benjamin T. Hazen Applying Control Chart Methods to
Enhance Data Quality . . . . . . . . . . 29--41
Ulrike Grömping A Note on Dominating Fractional
Factorial Two-Level Designs With Clear
Two-Factor Interactions . . . . . . . . 42--45
Peter Z. G. Qian and
Mingyao Ai and
Youngdeok Hwang and
Heng Su Asymmetric Nested Lattice Samples . . . 46--54
Yada Zhu and
Emmanuel Yashchin and
J. R. M. Hosking Parametric Estimation for Window
Censored Recurrence Data . . . . . . . . 55--66
Rensheng R. Zhou and
Nicoleta Serban and
Nagi Gebraeel and
Hans-Georg Müller A Functional Time Warping Approach to
Modeling and Monitoring Truncated
Degradation Signals . . . . . . . . . . 67--77
Ming Li and
William Q. Meeker and
R. Bruce Thompson Physical Model-Assisted Probability of
Detection of Flaws in Titanium Forgings
Using Ultrasonic Nondestructive
Evaluation . . . . . . . . . . . . . . . 78--91
Claudio Agostinelli and
Alfio Marazzi and
Victor J. Yohai Robust Estimators of the Generalized
Log-Gamma Distribution . . . . . . . . . 92--101
Alessio Farcomeni Robust Constrained Clustering in
Presence of Entry-Wise Outliers . . . . 102--111
Daniela M. Witten and
Ali Shojaie and
Fan Zhang The Cluster Elastic Net for
High-Dimensional Regression With Unknown
Variable Grouping . . . . . . . . . . . 112--122
Anonymous Book Reviews . . . . . . . . . . . . . . 123--130
William A. Brenneman Nominations Sought for William G. Hunter
Award . . . . . . . . . . . . . . . . . 131--131
Kalliopi Mylona and
Peter Goos and
Bradley Jones Optimal Design of Blocked and Split-Plot
Experiments for Fixed Effects and
Variance Component Estimation . . . . . 132--144
Bledar Konomi and
Georgios Karagiannis and
Avik Sarkar and
Xin Sun and
Guang Lin Bayesian Treed Multivariate Gaussian
Process With Adaptive Design:
Application to a Carbon Capture Unit . . 145--158
Marian Farah and
Athanasios Kottas Bayesian Inference for Sensitivity
Analysis of Computer Simulators, With an
Application to Radiative Transfer Models 159--173
Hai Nguyen and
Matthias Katzfuss and
Noel Cressie and
Amy Braverman Spatio-Temporal Data Fusion for Very
Large Remote Sensing Datasets . . . . . 174--185
Chiwoo Park Estimating Multiple Pathways of Object
Growth Using Nonlongitudinal Image Data 186--199
Candace Berrett and
Gustavious Paul Williams and
Todd Moon and
Jacob Gunther A Bayesian Nonparametric Model for
Temperature-Emissivity Separation of
Long-Wave Hyperspectral Images . . . . . 200--211
Qiang Zhou and
Junyi Zhou and
Michael De Cicco and
Shiyu Zhou and
Xiaochun Li Detecting $3$D Spatial Clustering of
Particles in Nanocomposites Based on
Cross-Sectional Images . . . . . . . . . 212--224
Luis Carvalho A Bayesian Statistical Approach for
Inference on Static Origin-Destination
Matrices in Transportation Studies . . . 225--237
João V. D. Monteiro and
Sudipto Banerjee and
Gurumurthy Ramachandran Bayesian Modeling for Physical Processes
in Industrial Hygiene Using Misaligned
Workplace Data . . . . . . . . . . . . . 238--247
Peihua Qiu and
Dongdong Xiang Univariate Dynamic Screening System: An
Approach For Identifying Individuals
With Irregular Longitudinal Behavior . . 248--260
Anonymous Book Reviews . . . . . . . . . . . . . . 261--267
Marck C. Albrecht and
Christopher J. Nachtsheim and
Thomas A. Albrecht and
R. Dennis Cook Letter to the Editor . . . . . . . . . . 268--268
Jianxin Pan and
Yu Fei and
Peter Foster Case-Deletion Diagnostics for Linear
Mixed Models . . . . . . . . . . . . . . 269--281
Zachary Zimmer and
DoHwan Park and
Thomas Mathew Pointwise and Simultaneous Tolerance
Limits Under Logistic Regression . . . . 282--290
Sarah L. Taylor and
Idris A. Eckley and
Matthew A. Nunes A Test of Stationarity for Textured
Images . . . . . . . . . . . . . . . . . 291--301
Zhi-Sheng Ye and
Nan Chen The Inverse Gaussian Process as a
Degradation Model . . . . . . . . . . . 302--311
Tianhao Wang and
Yingcun Xia A Piecewise Single-Index Model for
Dimension Reduction . . . . . . . . . . 312--324
Zhonghua Li and
Peihua Qiu Statistical Process Control Using a
Dynamic Sampling Scheme . . . . . . . . 325--335
Liang Qu and
Zhang Wu and
Michael B. C. Khoo and
Abdur Rahim Time-Between-Event Control Charts for
Sampling Inspection . . . . . . . . . . 336--346
Kehui Chen and
Hans-Georg Müller Modeling Conditional Distributions for
Functional Responses, With Application
to Traffic Monitoring via GPS-Enabled
Mobile Phones . . . . . . . . . . . . . 347--358
John Grego and
Shuang Li and
James Lynch and
Jayaram Sethuraman Partition-Based Priors and Multiple
Event Censoring: An Analysis of Rosen's
Fibrous Composite Experiment . . . . . . 359--371
Rui Tuo and
C. F. Jeff Wu and
Dan Yu Surrogate Modeling of Computer
Experiments With Different Mesh
Densities . . . . . . . . . . . . . . . 372--380
Anirban Mondal and
Bani Mallick and
Yalchin Efendiev and
Akhil Datta-Gupta Bayesian Uncertainty Quantification for
Subsurface Inversion Using a Multiscale
Hierarchical Model . . . . . . . . . . . 381--392
Li Li and
Timothy Hanson and
Paul Damien and
Elmira Popova A Bayesian Nonparametric Test for
Minimal Repair . . . . . . . . . . . . . 393--406
Anonymous Book Reviews . . . . . . . . . . . . . . 407--415
Anonymous 2013 Ziegel Award Announcement . . . . . 416--416
Peihua Qiu Editor's Report . . . . . . . . . . . . 417--418
Anonymous The \em 2013 Technometrics Prizes . . . 419--421
Alexis Boukouvalas and
John Paul Gosling and
Hugo Maruri-Aguilar An Efficient Screening Method for
Computer Experiments . . . . . . . . . . 422--431
Li Zhu and
Tirthankar Dasgupta and
Qiang Huang A $D$-Optimal Design for Estimation of
Parameters of an Exponential-Linear
Growth Curve of Nanostructures . . . . . 432--442
Ofir Harari and
David M. Steinberg Convex Combination of Gaussian Processes
for Bayesian Analysis of Deterministic
Computer Experiments . . . . . . . . . . 443--454
Clément Chevalier and
David Ginsbourger and
Julien Bect and
Emmanuel Vazquez and
Victor Picheny and
Yann Richet Fast Parallel Kriging-Based Stepwise
Uncertainty Reduction With Application
to the Identification of an Excursion
Set . . . . . . . . . . . . . . . . . . 455--465
Matthew Plumlee and
Rui Tuo Building Accurate Emulators for
Stochastic Simulations via Quantile
Kriging . . . . . . . . . . . . . . . . 466--473
Chia-Jung Chang and
V. Roshan Joseph Model Calibration Through Minimal
Adjustments . . . . . . . . . . . . . . 474--482
Bruce J. Swihart and
Jeff Goldsmith and
Ciprian M. Crainiceanu Restricted Likelihood Ratio Tests for
Functional Effects in the Functional
Linear Model . . . . . . . . . . . . . . 483--493
Jaime Carpio and
Jesús Juan and
Damián López Multivariate Exponential Smoothing and
Dynamic Factor Model Applied to Hourly
Electricity Price Analysis . . . . . . . 494--503
Zhi-Sheng Ye and
Min Xie and
Loon-Ching Tang and
Nan Chen Semiparametric Estimation of Gamma
Processes for Deteriorating Products . . 504--513
Václav Smídl and
Radek Hofman Efficient Sequential Monte Carlo
Sampling for Continuous Monitoring of a
Radiation Situation . . . . . . . . . . 514--528
Richard C. Bell Jr. and
L. Allison Jones-Farmer and
Nedret Billor A Distribution-Free Multivariate Phase I
Location Control Chart for Subgrouped
Data from Elliptical Distributions . . . 528--538
Yicheng Kang and
Peihua Qiu Jump Detection In Blurred Regression
Surfaces . . . . . . . . . . . . . . . . 539--550
Anonymous Book Reviews . . . . . . . . . . . . . . 551--557
Anonymous \em Technometrics Editorial
Collaborators . . . . . . . . . . . . . 558--559
Anonymous EOV Ed Board . . . . . . . . . . . . . . ebi--ebi
Qing Mai and
Hui Zou Nonparametric Variable Transformation in
Sufficient Dimension Reduction . . . . . 1--10
R. Dennis Cook and
Xin Zhang Simultaneous Envelopes for Multivariate
Linear Regression . . . . . . . . . . . 11--25
Daniel Gervini Dynamic Retrospective Regression for
Functional Data . . . . . . . . . . . . 26--34
Ying Hung and
V. Roshan Joseph and
Shreyes N. Melkote Analysis of Computer Experiments With
Functional Response . . . . . . . . . . 35--44
Max D. Morris Physical Experimental Design in Support
of Computer Model Development . . . . . 45--53
Byran J. Smucker and
Nathan M. Drew Approximate Model Spaces for
Model-Robust Experiment Design . . . . . 54--63
V. Roshan Joseph and
Tirthankar Dasgupta and
Rui Tuo and
C. F. Jeff Wu Sequential Exploration of Complex
Surfaces Using Minimum Energy Designs 64--74
Jie Li and
Dale L. Zimmerman Model-Based Sampling Design for
Multivariate Geostatistics . . . . . . . 75--86
Enrique del Castillo and
Bianca M. Colosimo and
Sam Davanloo Tajbakhsh Geodesic Gaussian Processes for the
Parametric Reconstruction of a Free-Form
Surface . . . . . . . . . . . . . . . . 87--99
Chien-Yu Peng Inverse Gaussian Processes With Random
Effects and Explanatory Variables for
Degradation Data . . . . . . . . . . . . 100--111
Anupap Somboonsavatdee and
Ananda Sen Statistical Inference for Power-Law
Process With Competing Risks . . . . . . 112--122
Siva Tian and
Jianhua Z. Huang and
Haipeng Shen Solving the MEG Inverse Problem: A
Robust Two-Way Regularization Method . . 123--137
Anonymous Book Reviews . . . . . . . . . . . . . . 138--143
Luzia A. Trinca and
Steven G. Gilmour Improved Split-Plot and Multistratum
Designs . . . . . . . . . . . . . . . . 145--154
Bradley Jones and
Rachel T. Silvestrini and
Douglas C. Montgomery and
David M. Steinberg Bridge Designs for Modeling Systems With
Low Noise . . . . . . . . . . . . . . . 155--163
Shiyao Liu and
William Q. Meeker Statistical Methods for Estimating the
Minimum Thickness Along a Pipeline . . . 164--179
Yili Hong and
Yuanyuan Duan and
William Q. Meeker and
Deborah L. Stanley and
Xiaohong Gu Statistical Methods for Degradation Data
With Dynamic Covariates Information and
an Application to Outdoor Weathering
Data . . . . . . . . . . . . . . . . . . 180--193
Christopher F. H. Nam and
John A. D. Aston and
Idris A. Eckley and
Rebecca Killick The Uncertainty of Storm Season Changes:
Quantifying the Uncertainty of
Autocovariance Changepoints . . . . . . 194--206
Rodrigue Ngueyep and
Nicoleta Serban Large-Vector Autoregression for
Multilayer Spatially Correlated Time
Series . . . . . . . . . . . . . . . . . 207--216
Dalia Chakrabarty and
Nare Gabrielyan and
Fabio Rigat and
Richard Beanland and
Shashi Paul Bayesian Estimation of Density via
Multiple Sequential Inversions of
Two-Dimensional Images With Application
to Electron Microscopy . . . . . . . . . 217--233
Patrick Flaherty and
Ronald W. Davis Robust Optimization of Biological
Protocols . . . . . . . . . . . . . . . 234--244
Nan Chen and
Shiyu Zhou CUSUM Statistical Monitoring of M/M/1
Queues and Extensions . . . . . . . . . 245--256
V. Roshan Joseph and
Huan Yan Engineering-Driven Statistical
Adjustment and Calibration . . . . . . . 257--267
Qibing Gao and
Mihye Ahn and
Hongtu Zhu Cook's Distance Measures for Varying
Coefficient Models With Functional
Responses . . . . . . . . . . . . . . . 268--280
Pedro Galeano and
Esdras Joseph and
Rosa E. Lillo The Mahalanobis Distance for Functional
Data With Applications to Classification 281--291
Anonymous Book Reviews . . . . . . . . . . . . . . 292--300
Douglas Hlavacek Nominations Sought for William G. Hunter
Award . . . . . . . . . . . . . . . . . 301--301
Yong Chen and
V. Roshan Joseph and
Yu Ding and
Vijay Nair Editorial . . . . . . . . . . . . . . . 303--304
Kaibo Liu and
Yajun Mei and
Jianjun Shi An Adaptive Sampling Strategy for Online
High-Dimensional Process Monitoring . . 305--319
Xinwei Deng and
Ran Jin QQ Models: Joint Modeling for
Quantitative and Qualitative Quality
Responses in Manufacturing Systems . . . 320--331
Andrew Hoegh and
Scotland Leman and
Parang Saraf and
Naren Ramakrishnan Bayesian Model Fusion for Forecasting
Civil Unrest . . . . . . . . . . . . . . 332--340
Yun Li and
Ji Zhu and
Naisyin Wang Regularized Semiparametric Estimation
for Ordinary Differential Equations . . 341--350
Youngjun Choe and
Eunshin Byon and
Nan Chen Importance Sampling for Reliability
Evaluation With Stochastic Simulation
Models . . . . . . . . . . . . . . . . . 351--361
Na Zou and
Yun Zhu and
Ji Zhu and
Mustafa Baydogan and
Wei Wang and
Jing Li A Transfer Learning Approach for
Predictive Modeling of Degenerate
Biological Systems . . . . . . . . . . . 362--373
Changliang Zou and
Zhaojun Wang and
Xuemin Zi and
Wei Jiang An Efficient Online Monitoring Method
for High-Dimensional Data Streams . . . 374--387
Sarah C. Richards and
William H. Woodall and
Gregory Purdy Surveillance of Nonhomogeneous Poisson
Processes . . . . . . . . . . . . . . . 388--394
Runlong Tang and
Moulinath Banerjee and
George Michailidis and
Shawn Mankad Two-Stage Plans for Estimating the
Inverse of a Monotone Function . . . . . 395--407
Steven Roberts and
Michael A. Martin and
Letian Zheng An Adaptive, Automatic Multiple-Case
Deletion Technique for Detecting
Influence in Regression . . . . . . . . 408--417
Loic Le Gratiet and
Claire Cannamela Cokriging-Based Sequential Design
Strategies Using Fast Cross-Validation
Techniques for Multi-Fidelity Computer
Codes . . . . . . . . . . . . . . . . . 418--427
Bagus Sartono and
Eric Schoen and
Peter Goos Blocking Orthogonal Designs With Mixed
Integer Linear Programming . . . . . . . 428--439
Anonymous Book Reviews . . . . . . . . . . . . . . 440--443
Peihua Qiu Editor Editorial Announcement . . . . . . . . . 445--445
Peihua Qiu Editor's Report . . . . . . . . . . . . 446--448
L. Brown and
A. N. Donev and
A. C. Bissett General Blending Models for Data From
Mixture Experiments . . . . . . . . . . 449--456
Matthias Hwai Yong Tan Stochastic Polynomial Interpolation for
Uncertainty Quantification With Computer
Experiments . . . . . . . . . . . . . . 457--467
Matthias Hwai Yong Tan Robust Parameter Design With Computer
Experiments Using Orthonormal
Polynomials . . . . . . . . . . . . . . 468--478
Shan Ba and
William R. Myers and
William A. Brenneman Optimal Sliced Latin Hypercube Designs 479--487
Bagus Sartono and
Peter Goos and
Eric Schoen Constructing General Orthogonal
Fractional Factorial Split-Plot Designs 488--502
Daniel V. Samarov and
Jeeseong Hwang and
Maritoni Litorja The Spatial LASSO With Applications to
Unmixing Hyperspectral Biomedical Images 503--513
Kamran Paynabar and
Judy Jin and
Matthew P. Reed Informative Sensor and Feature Selection
via Hierarchical Nonnegative Garrote . . 514--523
Wenxuan Zhong and
Kenneth S. Suslick Matrix Discriminant Analysis With
Application to Colorimetric Sensor Array
Data . . . . . . . . . . . . . . . . . . 524--534
Yimin Kao and
Brian Reich and
Curtis Storlie and
Blake Anderson Malware Detection Using Nonparametric
Bayesian Clustering and Classification
Techniques . . . . . . . . . . . . . . . 535--546
Andrew L. Rukhin Confidence Regions and Intervals for
Meta-Analysis Model Parameters . . . . . 547--558
Fang Wan and
Wei Liu and
Yang Han and
Frank Bretz An Exact Confidence Set for a Maximum
Point of a Univariate Polynomial
Function in a Given Interval . . . . . . 559--565
Yongho Jeon and
Jeongyoun Ahn and
Cheolwoo Park A Nonparametric Kernel Approach to
Interval-Valued Data Analysis . . . . . 566--575
Vignesh T. Subrahmaniam and
Anup Dewanji and
Bimal K. Roy A Semiparametric Software Reliability
Model for Analysis of a Bug-Database
With Multiple Defect Types . . . . . . . 576--585
Anonymous Book Reviews . . . . . . . . . . . . . . 586--593
Anonymous Editorial Board EOV . . . . . . . . . . 594--594
Robert B. Gramacy and
Genetha A. Gray and
Sébastien Le Digabel and
Herbert K. H. Lee and
Pritam Ranjan and
Garth Wells and
Stefan M. Wild Modeling an Augmented Lagrangian for
Blackbox Constrained Optimization . . . 1--11
Hao Chen and
William J. Welch Comment: Expected Improvement for
Efficient Blackbox Constrained
Optimization . . . . . . . . . . . . . . 12--15
Yichen Cheng and
Faming Liang Comment: `Modeling an Augmented
Lagrangian for Blackbox Constrained
Optimization' by Gramacy et al. . . . . 15--17
Victor Picheny and
David Ginsbourger and
Tipaluck Krityakierne Comment: Some Enhancements Over the
Augmented Lagrangian Approach . . . . . 17--21
Warren Hare and
Brian J. Williams and
Jason L. Loeppky Comment: The NoMax Strategy and
Correlated Outputs . . . . . . . . . . . 22--25
Robert B. Gramacy and
Genetha A. Gray and
Sébastien Le Digabel and
Herbert K. H. Lee and
Pritam Ranjan and
Garth Wells and
Stefan M. Wild Rejoinder . . . . . . . . . . . . . . . 26--29
Marjorie Jala and
Céline Levy-Leduc and
Éric Moulines and
Emmanuelle Conil and
Joe Wiart Sequential Design of Computer
Experiments for the Assessment of Fetus
Exposure to Electromagnetic Fields . . . 30--42
Frederick Kin Hing Phoa and
Ray-Bing Chen and
Weichung Wang and
Weng Kee Wong Optimizing Two-Level Supersaturated
Designs Using Swarm Intelligence
Techniques . . . . . . . . . . . . . . . 43--49
Youngdeok Hwang and
Peter Z. G. Qian and
Xu He Sliced Orthogonal Array-Based Latin
Hypercube Designs . . . . . . . . . . . 50--61
Valeria Espinosa and
Tirthankar Dasgupta and
Donald B. Rubin A Bayesian Perspective on the Analysis
of Unreplicated Factorial Experiments
Using Potential Outcomes . . . . . . . . 62--73
Bradley Jones and
Christopher J. Nachtsheim Blocking Schemes for Definitive
Screening Designs . . . . . . . . . . . 74--83
José M. Laínez-Aguirre and
Linas Mockus and
Seza Orçun and
Gary Blau and
Gintaras V. Reklaitis A Decomposition Strategy for the
Variational Inference of Complex Systems 84--94
Holger Rootzén and
Dmitrii Zholud Tail Estimation for Window-Censored
Processes . . . . . . . . . . . . . . . 95--103
Sheng-Tsaing Tseng and
Hsin-Chao Mi and
I.- Chen Lee A Multivariate EWMA Controller for
Linear Dynamic Processes . . . . . . . . 104--115
J. L. Wadsworth Exploiting Structure of Maximum
Likelihood Estimators for Extreme Value
Threshold Selection . . . . . . . . . . 116--126
Ying Sun and
Huixia J. Wang and
Montserrat Fuentes Fused Adaptive Lasso for Spatial and
Temporal Quantile Function Estimation 127--137
Arash Pourhabib and
Jianhua Z. Huang and
Yu Ding Short-Term Wind Speed Forecast Using
Measurements From Multiple Turbines in A
Wind Farm . . . . . . . . . . . . . . . 138--147
Anonymous Book Reviews . . . . . . . . . . . . . . 148--151
Anonymous 2014 Ziegel Award Announcement . . . . . 152--153
R. Dennis Cook and
Zhihua Su Scaled Predictor Envelopes and Partial
Least-Squares Regression . . . . . . . . 155--165
M. T. Pratola and
D. M. Higdon Bayesian Additive Regression Tree
Calibration of Complex High-Dimensional
Computer Models . . . . . . . . . . . . 166--179
Matthias H. Y. Tan Monotonic Quantile Regression With
Bernstein Polynomials for Stochastic
Simulation . . . . . . . . . . . . . . . 180--190
Kamran Paynabar and
Changliang Zou and
Peihua Qiu A Change-Point Approach for Phase-I
Analysis in Multivariate Profile
Monitoring and Diagnosis . . . . . . . . 191--204
Petter Arnesen and
Tracy Holsclaw and
Padhraic Smyth Bayesian Detection of Changepoints in
Finite-State Markov Chains for Multiple
Sequences . . . . . . . . . . . . . . . 205--213
Chuanlong Du and
Daniel J. Nordman and
Stephen B. Vardeman Bayesian Inference for a New Class of
Distributions on Equivalence Classes of
Three-Dimensional Orientations With
Applications to Materials Science . . . 214--224
Ryan Martin and
Rama T. Lingham Prior-Free Probabilistic Prediction of
Future Observations . . . . . . . . . . 225--235
Samuel W. K. Wong and
Conroy Lum and
Lang Wu and
James V. Zidek Quantifying Uncertainty in Lumber
Grading and Strength Prediction: A
Bayesian Approach . . . . . . . . . . . 236--243
Sheng-Tsaing Tseng and
I-Chen Lee Optimum Allocation Rule for Accelerated
Degradation Tests With a Class of
Exponential-Dispersion Degradation
Models . . . . . . . . . . . . . . . . . 244--254
Lulu Kang and
Javier Cruz Salgado and
William A. Brenneman Comparing the Slack-Variable Mixture
Model With Other Alternatives . . . . . 255--268
Mariano Amo-Salas and
Elvira Delgado-Márquez and
Jesús López-Fidalgo Optimal Experimental Designs in the Flow
Rate of Particles . . . . . . . . . . . 269--276
Anonymous Book Reviews . . . . . . . . . . . . . . 277--281
Anonymous Nominations Sought for 2016 William G.
Hunter Award . . . . . . . . . . . . . . 282--282
Peihua Qiu Big Data? More Challenges! . . . . . . . 283
Shifeng Xiong and
Bin Dai and
Jared Huling and
Peter Z. G. Qian Orthogonalizing EM: A Design-Based Least
Squares Algorithm . . . . . . . . . . . 285
Robert B. Gramacy and
Benjamin Haaland Speeding Up Neighborhood Search in Local
Gaussian Process Prediction . . . . . . 294
Faming Liang and
Jinsu Kim and
Qifan Song A Bootstrap Metropolis--Hastings
Algorithm for Bayesian Analysis of Big
Data . . . . . . . . . . . . . . . . . . 304
Stefano Castruccio and
Marc G. Genton Compressing an Ensemble With Statistical
Models: An Algorithm for Global $3$D
Spatio-Temporal Temperature . . . . . . 319
Kary Myers and
Earl Lawrence and
Michael Fugate and
Claire McKay Bowen and
Lawrence Ticknor and
Jon Woodring and
Joanne Wendelberger and
Jim Ahrens Partitioning a Large Simulation as It
Runs . . . . . . . . . . . . . . . . . . 329
Haim Avron and
Vikas Sindhwani High-Performance Kernel Machines With
Implicit Distributed Optimization and
Randomization . . . . . . . . . . . . . 341
Chunming Zhang and
Yi Chai and
Xiao Guo and
Muhong Gao and
David Devilbiss and
Zhengjun Zhang Statistical Learning of Neuronal
Functional Connectivity . . . . . . . . 350
Donggeng Xia and
Shawn Mankad and
George Michailidis Measuring Influence of Users in Twitter
Ecosystems Using a Counting Process
Modeling Framework . . . . . . . . . . . 360
Zhenyu Shi and
Daniel W. Apley and
George C. Runger Discovering the Nature of Variation in
Nonlinear Profile Data . . . . . . . . . 371
Yukun Zhang and
Xuewen Lu and
Anthony F. Desmond Variable Selection in a Log-Linear
Birnbaum--Saunders Regression Model for
High-Dimensional Survival Data via the
Elastic-Net and Stochastic EM . . . . . 383
Elizabeth D. Schifano and
Jing Wu and
Chun Wang and
Jun Yan and
Ming-Hui Chen Online Updating of Statistical Inference
in the Big Data Setting . . . . . . . . 393
Anonymous Book Reviews . . . . . . . . . . . . . . 404
Anonymous Erratum . . . . . . . . . . . . . . . . 411
Peihua Qiu Editor's Report . . . . . . . . . . . . 413--414
Robert Tibshirani and
Xiaotong Suo An Ordered Lasso and Sparse Time-Lagged
Regression . . . . . . . . . . . . . . . 415--423
Mia Hubert and
Tom Reynkens and
Eric Schmitt and
Tim Verdonck Sparse PCA for High-Dimensional Data
With Outliers . . . . . . . . . . . . . 424--434
Xiaoming Huo and
Gábor J. Székely Fast Computing for Distance Covariance 435--447
Nan Chen and
Xuemin Zi and
Changliang Zou A Distribution-Free Multivariate Control
Chart . . . . . . . . . . . . . . . . . 448--459
Xiaobei Shen and
Kwok-Leung Tsui and
Changliang Zou and
William H. Woodall Self-Starting Monitoring Scheme for
Poisson Count Data With Varying
Population Sizes . . . . . . . . . . . . 460--471
Huijing Jiang and
Xinwei Deng and
Vanessa López and
Hendrik F. Hamann Online Updating of Computer Model Output
Using Real-Time Sensor Data . . . . . . 472--482
Yongxiang Li and
Qiang Zhou Pairwise Meta-Modeling of Multivariate
Output Computer Models Using
Nonseparable Covariance Function . . . . 483--494
Hengzhen Huang and
Dennis K. J. Lin and
Min-Qian Liu and
Jian-Feng Yang Computer Experiments With Both
Qualitative and Quantitative Variables 495--507
William Li and
Dennis K. J. Lin A Note on Foldover of $ 2^{k - p} $
Designs With Column Permutations . . . . 508--512
Zhi-Sheng Ye and
Loon-Ching Tang Augmenting the Unreturned for Field Data
With Information on Returned Failures
Only . . . . . . . . . . . . . . . . . . 513--523
Anonymous Book Reviews . . . . . . . . . . . . . . 524--531
Anonymous The 2015 \booktitleTechnometrics Prizes 532--534
Anonymous 2015 Ziegel Award Announcement . . . . . 535--535
Anonymous \booktitleTechnometrics Editorial
Collaborators . . . . . . . . . . . . . 536--537
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Matthias Hwai Yong Tan Monotonic Metamodels for Deterministic
Computer Experiments . . . . . . . . . . 1--10
Weitao Duan and
Bruce E. Ankenman and
Susan M. Sanchez and
Paul J. Sanchez Sliced Full Factorial-Based Latin
Hypercube Designs as a Framework for a
Batch Sequential Design Algorithm . . . 11--22
Andrew J. Henrey and
Thomas M. Loughin Joint Identification of Location and
Dispersion Effects in Unreplicated
Two-Level Factorials . . . . . . . . . . 23--35
Matthew T. Pratola and
Ofir Harari and
Derek Bingham and
Gwenn E. Flowers Design and Analysis of Experiments on
Nonconvex Regions . . . . . . . . . . . 36--47
Anna Errore and
Bradley Jones and
William Li and
Christopher J. Nachtsheim Benefits and Fast Construction of
Efficient Two-Level Foldover Designs . . 48--57
Xu He and
Rui Tuo and
C. F. Jeff Wu Optimization of Multi-Fidelity Computer
Experiments via the EQIE Criterion . . . 58--68
Pieter T. Eendebak and
Eric D. Schoen Two-Level Designs to Estimate All Main
Effects and Two-Factor Interactions . . 69--79
Jeremy E. Oakley and
Benjamin D. Youngman Calibration of Stochastic Computer
Simulators Using Likelihood Emulation 80--92
Matthew J. Heaton and
William F. Christensen and
Maria A. Terres Nonstationary Gaussian Process Models
Using Spatial Hierarchical Clustering
from Finite Differences . . . . . . . . 93--101
Hao Yan and
Kamran Paynabar and
Jianjun Shi Anomaly Detection in Images With Smooth
Background via Smooth-Sparse
Decomposition . . . . . . . . . . . . . 102--114
Piao Chen and
Zhi-Sheng Ye Estimation of Field Reliability Based on
Aggregate Lifetime Data . . . . . . . . 115--125
Anonymous Book Reviews . . . . . . . . . . . . . . 126--133
Xiaoming Huo and
Gábor J. Székely Clarifications for ``Fast Computing for
Distance Covariance'' by Xiaoming Huo
and Gábor J. Székely . . . . . . . . . . . 134--135
Ray-Bing Chen and
Weichung Wang and
C. F. Jeff Wu Sequential Designs Based on Bayesian
Uncertainty Quantification in Sparse
Representation Surrogate Modeling . . . 139--152
Avishek Chakraborty and
Derek Bingham and
Soma S. Dhavala and
Carolyn C. Kuranz and
R. Paul Drake and
Michael J. Grosskopf and
Erica M. Rutter and
Ben R. Torralva and
James P. Holloway and
Ryan G. McClarren and
Bani K. Mallick Emulation of Numerical Models With
Over-Specified Basis Functions . . . . . 153--164
Matthew Plumlee and
Daniel W. Apley Lifted Brownian Kriging Models . . . . . 165--177
Grant Schneider and
Peter F. Craigmile and
Radu Herbei Maximum Likelihood Estimation for
Stochastic Differential Equations Using
Sequential Gaussian-Process-Based
Optimization . . . . . . . . . . . . . . 178--188
Tonglin Zhang and
Baijian Yang Box--Cox Transformation in Big Data . . 189--201
Wei Zhang and
Ye Tian and
Luis A. Escobar and
William Q. Meeker Estimating a Parametric Component
Lifetime Distribution from a Collection
of Superimposed Renewal Processes . . . 202--214
Xiang Zhang and
Alyson Wilson System Reliability and Component
Importance Under Dependence: A Copula
Approach . . . . . . . . . . . . . . . . 215--224
Zhibing Xu and
Yili Hong and
William Q. Meeker and
Brock E. Osborn and
Kati Illouz A Multi-Level Trend-Renewal Process for
Modeling Systems With Recurrence Data 225--236
Mimi Zhang and
Min Xie An Ameliorated Improvement Factor Model
for Imperfect Maintenance and Its
Goodness of Fit . . . . . . . . . . . . 237--246
Ye Tian and
Ranjan Maitra and
William Q. Meeker and
Stephen D. Holland A Statistical Framework for Improved
Automatic Flaw Detection in
Nondestructive Evaluation Images . . . . 247--261
K. Fokianos and
M. Pitsillou Consistent Testing for Pairwise
Dependence in Time Series . . . . . . . 262--270
Anonymous Book Reviews . . . . . . . . . . . . . . 271--280
Anonymous Nominations Sought for 2017 William G.
Hunter Award . . . . . . . . . . . . . . 281--281
X. Deng and
C. Devon Lin and
K.-W. Liu and
R. K. Rowe Additive Gaussian Process for Computer
Models With Qualitative and Quantitative
Factors . . . . . . . . . . . . . . . . 283--292
Luc Pronzato and
Maria-João Rendas Bayesian Local Kriging . . . . . . . . . 293--304
Robert W. Mee and
Eric D. Schoen and
David J. Edwards Selecting an Orthogonal or Nonorthogonal
Two-Level Design for Screening . . . . . 305--318
Bradley Jones and
Christopher J. Nachtsheim Effective Design-Based Model Selection
for Definitive Screening Designs . . . . 319--329
Samuel D. Pimentel and
Dylan S. Small and
Paul R. Rosenbaum An Exact Test of Fit for the Gaussian
Linear Model Using Optimal Nonbipartite
Matching . . . . . . . . . . . . . . . . 330--337
Yuan Yuan and
Nan Chen and
Shiyu Zhou Modeling Regression Quantile Process
Using Monotone B-Splines . . . . . . . . 338--350
Ching-Kang Ing and
Tze Leung Lai and
Milan Shen and
KaWai Tsang and
Shu-Hui Yu Multiple Testing in Regression Models
With Applications to Fault Diagnosis in
the Big Data Era . . . . . . . . . . . . 351--360
Anil Damle and
Yuekai Sun A Geometric Approach to Archetypal
Analysis and Nonnegative Matrix
Factorization . . . . . . . . . . . . . 361--370
Nathaniel T. Stevens and
Christine M. Anderson-Cook Comparing the Reliability of Related
Populations With the Probability of
Agreement . . . . . . . . . . . . . . . 371--380
Sheng-Tsaing Tseng and
Pei-Yu Chen A Generalized Quasi-MMSE Controller for
Run-to-Run Dynamic Models . . . . . . . 381--390
Ling Dong and
Xiaodong Li and
Dan Yu and
Hui Zhang and
Zhong Zhang and
Yanjun Qian and
Yu Ding Quantifying Nanoparticle Mixing State to
Account for Both Location and Size
Effects . . . . . . . . . . . . . . . . 391--403
Anonymous Book Reviews . . . . . . . . . . . . . . 404--412
Daniel W. Apley \booktitleTechnometrics 2017 Editor's
Report . . . . . . . . . . . . . . . . . 413--415
Xiao Nie and
Jared Huling and
Peter Z. G. Qian Accelerating Large-Scale Statistical
Computation With the GOEM Algorithm . . 416--425
Xin Zhang and
Lexin Li Tensor Envelope Partial Least-Squares
Regression . . . . . . . . . . . . . . . 426--436
Daniel V. Samarov and
David Allen and
Jeeseong Hwang and
Young Jong Lee and
Maritoni Litorja A Coordinate-Descent-Based Approach to
Solving the Sparse Group Elastic Net . . 437--445
Luzia A. Trinca and
Steven G. Gilmour Split-Plot and Multi-Stratum Designs for
Statistical Inference . . . . . . . . . 446--457
Antony M. Overstall and
David C. Woods Bayesian Design of Experiments Using
Approximate Coordinate Exchange . . . . 458--470
Weijie Shen Robust Parameter Designs in Computer
Experiments Using Stochastic
Approximation . . . . . . . . . . . . . 471--483
Giovanna Capizzi and
Guido Masarotto Phase I Distribution-Free Analysis of
Multivariate Data . . . . . . . . . . . 484--495
Dongdong Xiang and
Fugee Tsung and
Xiaolong Pu Statistical Process Control for Latent
Quality Characteristics Using the
Up-and-Down Test . . . . . . . . . . . . 496--507
Maochao Xu and
Lei Hua and
Shouhuai Xu A Vine Copula Model for Predicting the
Effectiveness of Cyber Defense
Early-Warning . . . . . . . . . . . . . 508--520
Heeyoung Kim and
Jaehwan Lee Hierarchical Spatially Varying
Coefficient Process Model . . . . . . . 521--527
Piao Chen and
Zhi-Sheng Ye and
Xingqiu Zhao Minimum Distance Estimation for the
Generalized Pareto Distribution . . . . 528--541
Anonymous Book Reviews . . . . . . . . . . . . . . 542--551
Anonymous The 2016 \booktitleTechnometrics Prizes 552--554
Anonymous 2016 Ziegel Award Announcement . . . . . 555--555
Anonymous \booktitleTechnometrics Editorial
Collaborators . . . . . . . . . . . . . 556--557
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Anh Tuan Bui and
Daniel W. Apley A Monitoring and Diagnostic Approach for
Stochastic Textured Surfaces . . . . . . 1--13
Xiaochen Xian and
Andi Wang and
Kaibo Liu A Nonparametric Adaptive Sampling
Strategy for Online Monitoring of Big
Data Streams . . . . . . . . . . . . . . 14--25
Yi Yang and
Teng Zhang and
Hui Zou Flexible Expectile Regression in
Reproducing Kernel Hilbert Spaces . . . 26--35
Le Chang and
Steven Roberts and
Alan Welsh Robust Lasso Regression Using Tukey's
Biweight Criterion . . . . . . . . . . . 36--47
Jean Hamilton and
Matthew A. Nunes and
Marina I. Knight and
Piotr Fryzlewicz Complex-Valued Wavelet Lifting and
Applications . . . . . . . . . . . . . . 48--60
Xiangshun Kong and
Mingyao Ai and
Kwok Leung Tsui Design for Sequential Follow-Up
Experiments in Computer Emulations . . . 61--69
Yongxiang Li and
Qiang Zhou and
Xiaohu Huang and
Li Zeng Pairwise Estimation of Multivariate
Gaussian Process Models With Replicated
Observations: Application to
Multivariate Profile Monitoring . . . . 70--78
Weijie Shen and
Dennis K. J. Lin A Conjugate Model for Dimensional
Analysis . . . . . . . . . . . . . . . . 79--89
Xin Wang and
Zhi-Sheng Ye and
Yi-Li Hong and
Loon-Ching Tang Analysis of Field Return Data With
Failed-But-Not-Reported Events . . . . . 90--100
Soham Sarkar and
Anil K. Ghosh Some Multivariate Tests of Independence
Based on Ranks of Nearest Neighbors . . 101--111
Hongxiao Zhu and
Philip Caspers and
Jeffrey S. Morris and
Xiaowei Wu and
Rolf Müller A Unified Analysis of Structured
Sonar-Terrain Data Using Bayesian
Functional Mixed Models . . . . . . . . 112--123
Anonymous Book Reviews . . . . . . . . . . . . . . 124--132
Anonymous Corrigendum . . . . . . . . . . . . . . 133--133
Peter J. Rousseeuw and
Wannes Van Den Bossche Detecting Deviating Data Cells . . . . . 135--145
Nozer D. Singpurwalla and
Nicholas G. Polson and
Refik Soyer From Least Squares to Signal Processing
and Particle Filtering . . . . . . . . . 146--160
Xin Chen and
Wenhui Sheng and
Xiangrong Yin Efficient Sparse Estimate of Sufficient
Dimension Reduction in High Dimension 161--168
Yangyang Zang and
Peihua Qiu Phase I Monitoring of Spatial Surface
Data from $3$D Printing . . . . . . . . 169--180
Hao Yan and
Kamran Paynabar and
Jianjun Shi Real-Time Monitoring of High-Dimensional
Functional Data Streams via
Spatio-Temporal Smooth Sparse
Decomposition . . . . . . . . . . . . . 181--197
ShengLi Tzeng and
Hsin-Cheng Huang Resolution Adaptive Fixed Rank Kriging 198--208
Matthias Hy Tan Gaussian Process Modeling of a
Functional Output with Information from
Boundary and Initial Conditions and
Analytical Approximations . . . . . . . 209--221
Yimeng Xie and
Caleb B. King and
Yili Hong and
Qingyu Yang Semiparametric Models for Accelerated
Destructive Degradation Test Data
Analysis . . . . . . . . . . . . . . . . 222--234
Bing Xing Wang and
Fangtao Wu Inference on the Gamma Distribution . . 235--244
Laura L. Tupper and
David S. Matteson and
C. Lindsay Anderson and
Luckny Zephyr Band Depth Clustering for Nonstationary
Time Series and Wind Speed Behavior . . 245--254
Fang Cao and
Shan Ba and
William A. Brenneman and
V. Roshan Joseph Model Calibration With Censored Data . . 255--262
Anonymous Book Reviews . . . . . . . . . . . . . . 263--269
Anonymous Statement of Removal . . . . . . . . . . 270--270
Anonymous Nominations Sought for 2018 William G.
Hunter Award . . . . . . . . . . . . . . 271--271
Kevin J. Wilson and
Daniel A. Henderson and
John Quigley Emulation of Utility Functions Over a
Set of Permutations: Sequencing
Reliability Growth Tasks . . . . . . . . 273--285
Ahmed Aziz Ezzat and
Arash Pourhabib and
Yu Ding Sequential Design for Functional
Calibration of Computer Models . . . . . 286--296
Lucia N. Hernandez and
Christopher J. Nachtsheim Fast Computation of Exact $G$-Optimal
Designs Via $ I_\lambda $-Optimality . . 297--305
Eun Sug Park and
Philip K. Hopke and
Inyoung Kim and
Shuman Tan and
Clifford H. Spiegelman Bayesian Spatial Multivariate Receptor
Modeling for Multisite Multipollutant
Data . . . . . . . . . . . . . . . . . . 306--318
Yuwen Gu and
Jun Fan and
Lingchen Kong and
Shiqian Ma and
Hui Zou ADMM for High-Dimensional Sparse
Penalized Quantile Regression . . . . . 319--331
Ali Esmaieeli Sikaroudi and
David A. Welch and
Taylor J. Woehl and
Roland Faller and
James E. Evans and
Nigel D. Browning and
Chiwoo Park Directional Statistics of Preferential
Orientations of Two Shapes in Their
Aggregate and Its Application to
Nanoparticle Aggregation . . . . . . . . 332--344
Long Feng and
Peihua Qiu Difference Detection Between Two Images
for Image Monitoring . . . . . . . . . . 345--359
Yuan Wang and
Yajun Mei and
Kamran Paynabar Thresholded Multivariate Principal
Component Analysis for Phase I
Multichannel Profile Monitoring . . . . 360--372
Zimo Wang and
Satish T. S. Bukkapatnam A Dirichlet Process Gaussian State
Machine Model for Change Detection in
Transient Processes . . . . . . . . . . 373--385
Peihua Qiu and
Xuemin Zi and
Changliang Zou Nonparametric Dynamic Curve Monitoring 386--397
Guangyu Zhu and
Jiahua Chen Multi-Parameter One-Sided Monitoring
Tests . . . . . . . . . . . . . . . . . 398--407
Anonymous Book Reviews . . . . . . . . . . . . . . 408--414
Joseph Guinness Permutation and Grouping Methods for
Sharpening Gaussian Process
Approximations . . . . . . . . . . . . . 415--429
Rajarshi Guhaniyogi and
Sudipto Banerjee Meta-Kriging: Scalable Bayesian Modeling
and Inference for Massive Spatial
Datasets . . . . . . . . . . . . . . . . 430--444
Xueou Wang and
David J. Nott and
Christopher C. Drovandi and
Kerrie Mengersen and
Michael Evans Using History Matching for Prior Choice 445--460
Qingqing Zhai and
Zhi-Sheng Ye Degradation in Common Dynamic
Environments . . . . . . . . . . . . . . 461--471
I-Chen Lee and
Yili Hong and
Sheng-Tsaing Tseng and
Tirthankar Dasgupta Sequential Bayesian Design for
Accelerated Life Tests . . . . . . . . . 472--483
Raed Kontar and
Shiyu Zhou and
Chaitanya Sankavaram and
Xinyu Du and
Yilu Zhang Nonparametric Modeling and Prognosis of
Condition Monitoring Signals Using
Multivariate Gaussian Convolution
Processes . . . . . . . . . . . . . . . 484--496
Alessandra Menafoglio and
Marco Grasso and
Piercesare Secchi and
Bianca Maria Colosimo Profile Monitoring of Probability
Density Functions via Simplicial
Functional PCA With Application to Image
Data . . . . . . . . . . . . . . . . . . 497--510
Kevin H. Lee and
Lingzhou Xue Nonparametric Finite Mixture of Gaussian
Graphical Models . . . . . . . . . . . . 511--521
Yicheng Kang and
Partha Sarathi Mukherjee and
Peihua Qiu Efficient Blind Image Deblurring Using
Nonparametric Regression and Local Pixel
Clustering . . . . . . . . . . . . . . . 522--531
Arman Sabbaghi and
Qiang Huang and
Tirthankar Dasgupta Bayesian Model Building From Small
Samples of Disparate Data for Capturing
In-Plane Deviation in Additive
Manufacturing . . . . . . . . . . . . . 532--544
Stacey L. Culp and
Kenneth J. Ryan and
Juan Chen and
Michael S. Hamada Analysis of Repeatability and
Reproducibility Studies With Ordinal
Measurements . . . . . . . . . . . . . . 545--556
Anonymous \booktitleTechnometrics Editorial
Collaborators . . . . . . . . . . . . . 557--558
Anonymous Clarification . . . . . . . . . . . . . 559--559
Anonymous Editorial Announcement . . . . . . . . . 1--1
Daniel Apley (Technometrics Editor and
2017-2019) \booktitleTechnometrics 2018 Editor's
Report . . . . . . . . . . . . . . . . . 2--6
Mickaël Binois and
Jiangeng Huang and
Robert B. Gramacy and
Mike Ludkovski Replication or Exploration? Sequential
Design for Stochastic Simulation
Experiments . . . . . . . . . . . . . . 7--23
V. Roshan Joseph and
Li Gu and
Shan Ba and
William R. Myers Space-Filling Designs for Robustness
Experiments . . . . . . . . . . . . . . 24--37
William Li and
Robert W. Mee and
Qi Zhou Using Individual Factor Information in
Fractional Factorial Designs . . . . . . 38--49
Sobambo Sosina and
E. Marielle Remillard and
Qiaoying Zhang and
Chad Vecitis and
Tirthankar Dasgupta Response Surface Optimization in the
Presence of Internal Noise With
Application to Optimal Alignment of
Carbon Nanotubes . . . . . . . . . . . . 50--65
Xu He Sliced Rotated Sphere Packing Designs 66--76
Joshua Lukemire and
Abhyuday Mandal and
Weng Kee Wong $d$-QPSO: A Quantum-Behaved Particle
Swarm Technique for Finding $D$-Optimal
Designs With Discrete and Continuous
Factors and a Binary Response . . . . . 77--87
Lawrence Bardwell and
Paul Fearnhead and
Idris A. Eckley and
Simon Smith and
Martin Spott Most Recent Changepoint Detection in
Panel Data . . . . . . . . . . . . . . . 88--98
Lukasz Smaga and
Jin-Ting Zhang Linear Hypothesis Testing With
Functional Data . . . . . . . . . . . . 99--110
Yunlu Jiang and
You-Gan Wang and
Liya Fu and
Xueqin Wang Robust Estimation Using Modified Huber's
Functions With New Tails . . . . . . . . 111--122
Anna Kiriliouk and
Holger Rootzén and
Johan Segers and
Jennifer L. Wadsworth Peaks Over Thresholds Modeling With
Multivariate Generalized Pareto
Distributions . . . . . . . . . . . . . 123--135
Anonymous The 2017 \booktitleTechnometrics Prizes 136--138
Beatriz Bueno-Larraz and
Johannes Klepsch Variable Selection for the Prediction of
$ C[0, 1] $-Valued Autoregressive
Processes using Reproducing Kernel
Hilbert Spaces . . . . . . . . . . . . . 139--153
Wenhao Hu and
Eric B. Laber and
Clay Barker and
Leonard A. Stefanski Assessing Tuning Parameter Selection
Variability in Penalized Regression . . 154--164
Mark V. Culp and
Kenneth J. Ryan and
Prithish Banerjee and
Michael Morehead On Data Integration Problems With
Manifolds . . . . . . . . . . . . . . . 165--175
Zhengling Qi and
Yufeng Liu Convex Bidirectional Large Margin
Classifiers . . . . . . . . . . . . . . 176--186
Bohai Zhang and
Noel Cressie and
Debra Wunch Inference for Errors-in-Variables Models
in the Presence of Systematic Errors
with an Application to a Satellite
Remote Sensing Campaign . . . . . . . . 187--201
Matthias H. Y. Tan and
Guilin Li Gaussian Process Modeling Using the
Principle of Superposition . . . . . . . 202--218
Alan R. Vazquez and
Peter Goos and
Eric D. Schoen Constructing Two-Level Designs by
Concatenation of Strength-$3$ Orthogonal
Arrays . . . . . . . . . . . . . . . . . 219--232
Chun-Hao Yang and
James V. Zidek and
Samuel W. K. Wong Bayesian Analysis of Accumulated Damage
Models in Lumber Reliability . . . . . . 233--245
Wujun Si and
Qingyu Yang and
Xin Wu Material Degradation Modeling and
Failure Prediction Using Microstructure
Images . . . . . . . . . . . . . . . . . 246--258
Xin Zhang and
Qing Mai Efficient Integration of Sufficient
Dimension Reduction and Prediction in
Discriminant Analysis . . . . . . . . . 259--272
Joyce Nilsson Orsini Book Review: \booktitleApplied
Quantitative Finance (3rd ed.) . . . . . 273--280
Anonymous Correction . . . . . . . . . . . . . . . 281--281
Christopher T. Franck Detection of Hidden Additivity and
Inference Under Model Uncertainty for
Unreplicated Factorial Studies via
Bayesian Model Selection and Averaging 283--296
V. Roshan Joseph and
Dianpeng Wang and
Li Gu and
Shiji Lyu and
Rui Tuo Deterministic Sampling of Expensive
Posteriors Using Minimum Energy Designs 297--308
Wenjia Wang and
Benjamin Haaland Controlling Sources of Inaccuracy in
Stochastic Kriging . . . . . . . . . . . 309--321
Pulong Ma and
Emily L. Kang and
Amy J. Braverman and
Hai M. Nguyen Spatial Statistical Downscaling for
Constructing High-Resolution Nature Runs
in Global Observing System Simulation
Experiments . . . . . . . . . . . . . . 322--340
Alan R. Vazquez and
Hongquan Xu Construction of Two-Level Nonregular
Designs of Strength Three With Large Run
Sizes . . . . . . . . . . . . . . . . . 341--353
Eric Mittman and
Colin Lewis-Beck and
William Q. Meeker A Hierarchical Model for Heterogeneous
Reliability Field Data . . . . . . . . . 354--368
Xiaolei Fang and
Kamran Paynabar and
Nagi Gebraeel Image-Based Prognostics Using Penalized
Tensor Regression . . . . . . . . . . . 369--384
Hao Yan and
Kamran Paynabar and
Massimo Pacella Structured Point Cloud Data Analysis Via
Regularized Tensor Regression for
Process Modeling and Optimization . . . 385--395
Boxiang Wang and
Hui Zou A Multicategory Kernel Distance Weighted
Discrimination Method for Multiclass
Classification . . . . . . . . . . . . . 396--408
Wei Qian and
Wending Li and
Yasuhiro Sogawa and
Ryohei Fujimaki and
Xitong Yang and
Ji Liu An Interactive Greedy Approach to Group
Sparsity in High Dimensions . . . . . . 409--421
Stan Lipovetsky Book Review: \booktitleStrategic
Economic Decision-Making: Using Bayesian
Belief Networks to Solve Complex
Problems . . . . . . . . . . . . . . . . 422--422
Stan Lipovetsky Book Review: \booktitleAdvances in
Latent Variables: Methods, Models and
Applications . . . . . . . . . . . . . . 423--424
Stan Lipovetsky Book Review: \booktitleApplied
Data-Centric Social Sciences: Concepts,
Data, Computation, and Theory . . . . . 424--425
Stan Lipovetsky Book Review: \booktitleMachine Learning
in Medicine --- A Complete Overview . . 425--426
Abhirup Mallik Wavelet Packets and Their Statistical
Applications . . . . . . . . . . . . . . 426--426
M. Rauf Ahmad Book Review: \booktitleStatistical
Analysis of Noise Estimation in MRI:
Modeling, Filtering and Estimation . . . 426--427
Morteza Marzjarani Book Review: \booktitleSimulation and
the Monte Carlo Method (3rd ed.) . . . . 427--428
Daniel Peña and
Ruey S. Tsay and
Ruben Zamar Empirical Dynamic Quantiles for
Visualization of High-Dimensional Time
Series . . . . . . . . . . . . . . . . . 429--444
Huang Huang and
Ying Sun A Decomposition of Total Variation Depth
for Understanding Functional Outliers 445--458
Mia Hubert and
Peter J. Rousseeuw and
Wannes Van den Bossche MacroPCA: An All-in-One PCA Method
Allowing for Missing Values as Well as
Cellwise and Rowwise Outliers . . . . . 459--473
Dario Azzimonti and
David Ginsbourger and
Jérémy Rohmer and
Déborah Idier Profile Extrema for Visualizing and
Quantifying Uncertainties on Excursion
Regions: Application to Coastal Flooding 474--493
An-Ting Jhuang and
Montserrat Fuentes and
Jacob L. Jones and
Giovanni Esteves and
Chris M. Fancher and
Marschall Furman and
Brian J. Reich Spatial Signal Detection Using
Continuous Shrinkage Priors . . . . . . 494--506
Karen Kazor and
Amanda S. Hering Mixture of Regression Models for Large
Spatial Datasets . . . . . . . . . . . . 507--523
Wilmina M. Marget and
Max D. Morris Central Composite Experimental Designs
for Multiple Responses With Different
Models . . . . . . . . . . . . . . . . . 524--532
Peter Goos and
Bradley Jones Optimal Experimental Design in the
Presence of Nested Factors . . . . . . . 533--544
Simon Mak and
C. F. Jeff Wu Analysis-of-Marginal-Tail-Means (ATM): a
Robust Method for Discrete Black-Box
Optimization . . . . . . . . . . . . . . 545--559
Subir Ghosh Book Review: \booktitleLectures on
Categorical Data Analysis . . . . . . . 560--560
Jian Guo Book Review: \booktitleBayesian
Inference-Data Evaluation and Decisions
(2nd ed.) . . . . . . . . . . . . . . . 561--562
Stan Lipovetsky Book Review: \booktitleDigital
Humanities and Film Studies: Visualising
Dziga Vertov's Work . . . . . . . . . . 562--563
Stan Lipovetsky Book Review: \booktitleSimulating
Societal Change: Counterfactual
Modelling for Social and Policy Inquiry 563--565
Morteza Marzjarani Book Review: \booktitleExploratory Data
Analysis With MATLAB by Wendy L.
Martinez, Angel R. Martinez, and Jeffery
L. Solka. Boca Raton, FL: CRC Press,
2017, xxv + 590 pp., \$100.00
(Hardback), \$46.36 (e-book), ISBN-13:
978-1-4987-7606-6 . . . . . . . . . . . 565--566
Nozer D. Singpurwalla and
Lai Boya Book Review: \booktitleFoundations of
Info-Metrics (Modeling, Inference and
Imperfect Information) . . . . . . . . . 566--567
S. Ejaz Ahmed Book Review: \booktitleRisk and Reward:
The Science of Casino Blackjack (2nd
ed.), by N. Richard Werthamer. Cham,
Switzerland: Springer International
Publishing AG, 2018, xx + 150 pp., ISBN:
978-3-319-91384-1, 978-3-319-91385-8
(e-book). DOI: 10.1007/978-3-319-91385-8 567--567
S. Ejaz Ahmed Continuous Time Modeling in the
Behavioural and Related Sciences . . . . 567--568
S. Ejaz Ahmed Dynamic Neuroscience Statistic,
Modeling, and Control . . . . . . . . . 568--568
S. Ejaz Ahmed Partial Least Squares Path Modeling . . 568--569
Anonymous \booktitleTechnometrics Editorial
Collaborators . . . . . . . . . . . . . i--ii