Last update: Mon Jun 3 12:46:30 MDT 2024
Volume 50, Number 4, November, 2008Pritam 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