Journal of the American Statistical Association

2001 - 2007

Edited by David L. Banks

from American Statistical Association
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2007

The Pro Bono Statistician pp. 1-6

Fritz Scheuren

Prediction of U.S. Cancer Mortality Counts Using Semiparametric Bayesian Techniques pp. 7-15

Kaushik Ghosh and Ram C. Tiwari

Periodic Seasonal Reg-ARFIMAGARCH Models for Daily Electricity Spot Prices pp. 16-27

Siem Jan Koopman, Marius Ooms and M. Angeles Carnero

Cost (or Price) Forecasting in the Face of Technological Advance pp. 28-43

David A. Harville and Emmanuel Yashchin

Spatial Analyses of Periodontal Data Using Conditionally Autoregressive Priors Having Two Classes of Neighbor Relations pp. 44-55

Brian J. Reich, James S. Hodges and Bradley P. Carlin

A Unified Semiparametric Framework for Quantitative Trait Loci Analyses, With Application to Spike Phenotypes pp. 56-67

Chunfang Jin, Jason P. Fine and Brian S. Yandell

Episodic Nonlinear Event Detection in the Canadian Exchange Rate pp. 68-74

Melvin J. Hinich and Apostolos Serletis

Minimum Distance Matched Sampling With Fine Balance in an Observational Study of Treatment for Ovarian Cancer pp. 75-83

Paul R. Rosenbaum, Richard N. Ross and Jeffrey H. Silber

Inference for Stereological Extremes pp. 84-92

P. Bortot, S.G. Coles and S.A. Sisson

Correlation and Large-Scale Simultaneous Significance Testing pp. 93-103

Bradley Efron

Detecting Differential Expressions in GeneChip Microarray Studies: A Quantile Approach pp. 104-112

Huixia Wang and Xuming He

Optimal Shrinkage Estimation of Variances With Applications to Microarray Data Analysis pp. 113-122

Tiejun Tong and Yuedong Wang

Efficient Estimation of Population-Level Summaries in General Semiparametric Regression Models pp. 123-139

Arnab Maity, Yanyuan Ma and Raymond J. Carroll

A Simple Risk-Adjusted Exponentially Weighted Moving Average pp. 140-152

Olivia Grigg and David Spiegelhalter

Additive Expectancy Regression pp. 153-166

Ying Qing Chen

Semiparametric Transformation Models With Random Effects for Recurrent Events pp. 167-180

Donglin Zeng and D.Y. Lin

Minimum Area Confidence Set Optimality for Confidence Bands in Simple Linear Regression pp. 181-190

W. Liu and A.J. Hayter

Interference Between Units in Randomized Experiments pp. 191-200

Paul R. Rosenbaum

Mixed Hidden Markov Models: An Extension of the Hidden Markov Model to the Longitudinal Data Setting pp. 201-210

Rachel MacKay Altman

Transition Models for Multivariate Longitudinal Binary Data pp. 211-223

Leilei Zeng and Richard J. Cook

Implementing Optimal Allocation in Sequential Binary Response Experiments pp. 224-234

Yevgen Tymofyeyev, William F. Rosenberger and Feifang Hu

Controlling Variable Selection by the Addition of Pseudovariables pp. 235-243

Yujun Wu, Dennis D. Boos and Leonard A. Stefanski

Extending the Akaike Information Criterion to Mixture Regression Models pp. 244-254

Prasad A. Naik, Peide Shi and Tsai, Chih-Ling

Quantile Regression in Reproducing Kernel Hilbert Spaces pp. 255-268

Youjuan Li, Yufeng Liu and Ji Zhu

Power Transformation Toward a Linear Regression Quantile pp. 269-279

Yunming Mu and Xuming He

A Sturdy Reduced-Bias Extreme Quantile (VaR) Estimator pp. 280-292

M. Ivette Gomes and Dinis Pestana

Variance Reduction in Multiparameter Likelihood Models pp. 293-304

Cheng, Ming-Yen and Liang Peng

Stochastic Approximation in Monte Carlo Computation pp. 305-320

Faming Liang, Chuanhai Liu and Raymond J. Carroll

Approximate Likelihood for Large Irregularly Spaced Spatial Data pp. 321-331

Montserrat Fuentes

Empirical Likelihood Inference in Nonlinear Errors-in-Covariables Models With Validation Data pp. 332-346

Winfried Stute, Liugen Xue and Lixing Zhu

Robust Tests in Regression Models With Omnibus Alternatives and Bounded Influence pp. 347-358

Lan Wang and Annie Qu

Strictly Proper Scoring Rules, Prediction, and Estimation pp. 359-378

Tilmann Gneiting and Adrian E. Raftery

Statistics for Fission Track Analysis, Rex F. Galbraith pp. 380-381

Paul F. Green

Weather Derivative Valuation: The Meteorological, Statistical, Financial and Mathematical Foundations, Stephen Jewson, Anders Brix, and Christine Ziehmann pp. 380-380

Juri Hinz

Stochastic Processes and Models, David Stirzaker pp. 381-381

John Fricks

Statistical Analysis of Stochastic Processes in Time, J. K. Lindsey pp. 382-382

Robert Lund

Fractal-Based Point Processes, Steven Bradley Lowen and Malvin Carl Teich pp. 382-383

Johanna Neslehova

Vertical Density Representations and Its Applications, Marvin D. Troutt, W. K. Pang, and S. H. Hou pp. 383-383

James E. Gentle

Introduction to Regression Modeling, Bovas Abraham and Johannes Ledolter pp. 384-385

John H. Walker

A Kalman Filter Primer, Randy L. Eubank pp. 384-384

Kary L. Myers

Introduction to Linear Models and Statistical Inference, Steven J. Janke and Frederick C. Tinsley pp. 385-386

Lane A. Eubank

Statistical Matching: A Frequentist Theory, Practical Applications and Alternative Bayesian Approaches, Susanne Rassler pp. 386-386

Alan F. Karr

Modeling in Medical Decision Making: A Bayesian Approach, Giovanni Parmigiani pp. 387-388

George Woodworth

Scientific Reasoning: The Bayesian Approach (3rd ed.), Colin Howson and Peter Urbach pp. 387-387

Glenn Shafer

Bioinformatics and Computational Biology Solutions Using R and Bioconductor, Robert Gentleman, Vincent Carey, Wolfgang Huber, Rafael Irizarry, and Sandrine Dudoit pp. 388-389

J. Wade Davis

Computational Genome Analysis: An Introduction, Richard C. Deonier, Simon Tavare, and Michael S. Waterman pp. 388-388

Paul Havlak

Analysis of Integrated and Co-Integrated Time Series With R, Bernhard Pfaff pp. 389-390

Jane L. Harvill

All of Nonparametric Statistics, Larry Wasserman pp. 389-389

Greg Ridgeway

Applied Choice Analysis: A Primer, David A. Hensher, John M. Rose, and William H. Greene pp. 390-390

David Brownstone

2006

Inverse Decision Theory: Characterizing Losses for a Decision Rule With Applications in Cervical Cancer Screening pp. 1-8

Richard J. Swartz, Dennis D. Cox, Scott B. Cantor, Kalatu Davies and Michele Follen

Bayesian Model Averaging With Applications to Benchmark Dose Estimation for Arsenic in Drinking Water pp. 9-17

Knashawn H. Morales, Joseph G. Ibrahim, Chen, Chien-Jen and Louise M. Ryan

A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes: An Application of Bayesian Hierarchical Clustering of Curves pp. 18-29

Nicholas A. Heard, Christopher C. Holmes and David A. Stephens

Quality Control and Robust Estimation for cDNA Microarrays With Replicates pp. 30-40

Raphael Gottardo, Adrian E. Raftery, Ka Yee Yeung and Roger E. Bumgarner

Estimation of Expression Indexes for Oligonucleotide Arrays Using the Singular Value Decomposition pp. 41-50

Jianhua Hu, Fred A. Wright and Fei Zou

Causal Vaccine Effects on Binary Postinfection Outcomes pp. 51-64

Michael G. Hudgens and M. Elizabeth Halloran

Piecewise Constant Cross-Ratio Estimation for Association of Age at a Marker Event and Age at Menopause pp. 65-77

Bin Nan, Xihong Lin, Lynda D. Lisabeth and Sioban D. Harlow

Adaptive Thresholds: Monitoring Streams of Network Counts pp. 78-88

Diane Lambert and Chuanhai Liu

Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies pp. 89-104

D.Y. Lin and D. Zeng

Comment pp. 104-106

Chiara Sabatti

Comment pp. 107-108

Glen A. Satten, Andrew S. Allen and Michael P. Epstein

Comment pp. 108-111

Nilanjan Chatterjee, Christine Spinka, Jinbo Chen and Raymond J. Carroll

Comment pp. 111-114

Tzeng, Jung-Ying and Kathryn Roeder

Comment pp. 114-115

Hongzhe Li

Rejoinder pp. 116-118

D.Y. Lin and D. Zeng

Prediction by Supervised Principal Components pp. 119-137

Eric Bair, Trevor Hastie, Debashis Paul and Robert Tibshirani

Convexity, Classification, and Risk Bounds pp. 138-156

Peter L. Bartlett, Michael . Jordan and Jon D. McAuliffe

Objective Bayesian Variable Selection pp. 157-167

George Casella and Elias Moreno

Variable Selection for Model-Based Clustering pp. 168-178

Adrian E. Raftery and Nema Dean

Order-Based Dependent Dirichlet Processes pp. 179-194

J.E. Griffin and Mark Steel

Partial Linear Regression Models for Clustered Data pp. 195-204

Kani Chen and Zhezhen Jin

A Note on Lack-of-Fit Tests for Linear Models Without Replication pp. 205-210

Zhaohui Su and Yang, Shie-Shien

Improved Estimation of Dissimilarities by Presmoothing Functional Data pp. 211-222

David B. Hitchcock, George Casella and James G. Booth

Structural Break Estimation for Nonstationary Time Series Models pp. 223-239

Richard A. Davis, Thomas C.M. Lee and Rodriguez-Yam, Gabriel A.

Discrimination of Locally Stationary Time Series Based on the Excess Mass Functional pp. 240-253

Gabriel Chandler and Wolfgang Polonik

Fiducial Generalized Confidence Intervals pp. 254-269

Jan Hannig, Hari Iyer and Paul Patterson

Parameter Estimation for the Truncated Pareto Distribution pp. 270-277

Inmaculada B. Aban, Mark M. Meerschaert and Anna K. Panorska

Sample Size Determination for Robust Bayesian Analysis pp. 278-291

Fulvio De Santis

High-Breakdown Inference for Mixed Linear Models pp. 292-300

Samuel Copt and Victoria-Feser, Maria-Pia

Estimation of Finite Population Domain Means: A Model-Assisted Empirical Best Prediction Approach pp. 301-311

Jiming Jiang and P. Lahiri

Replication Variance Estimation for Two-Phase Stratified Sampling pp. 312-320

Jae Kwang Kim, Alfredo Navarro and Wayne A. Fuller

Distribution of the Length of the Longest Significance Run on a Bernoulli Net and Its Applications pp. 321-331

Jihong Chen and Xiaoming Huo

Count Data Distributions: Some Characterizations With Applications pp. 332-340

Pedro Puig and Jordi Valero

Global Validation of Linear Model Assumptions pp. 341-354

Edsel A. Pena and Elizabeth H. Slate

Clustering Categorical Data Based on Distance Vectors pp. 355-367

Peng Zhang, Xiaogang Wang and Peter X.K. Song

A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison pp. 368-386

Dong Han and Fugee Tsung

Gaussian Markov Random Fields: Theory and Applications. Harvard Rue and Leonhard Held pp. 388-389

Jun Yan

Statistical Methods for Spatial Data Analysis. Oliver Schabenberger and Carol A. Gotway pp. 389-340

Jun Zhu

Multivariate t Distributions and Their Applications. Samuel Kotz and Saralees Nadarajah pp. 390-391

Alexander J.M. McNeil

Probability Matching Priors: Higher Order Asymptotics. Gauri Sankar Datta and Rahul Mukerjee pp. 391-391

Judith Rousseau

Constrained Statistical Inference: Inequality, Order, and Shape Restrictions. Mervyn J. Silvapulle and Pranab K. Sen pp. 391-392

Athanasios Micheas

Measurement Error and Misclassification in Statistics and Epidemiology. Paul Gustafson pp. 392-393

Donna Spiegelman

Statistical Methods in Bioinformatics: An Introduction (2nd ed.). Warren J. Ewens and Gregory Grant pp. 393-393

W. Jim Zheng

A Modern Introduction to Probability and Statistics: Understanding Why and How. F. M. Dekking, C. Kraaikamp, H. P. Lopuhaa, and L. E. Meester pp. 393-394

Jay Devore

Mathematical Statistics With Applications. Asha Seth Kapadia, Wenyaw Chan, and Lemuel Moye pp. 394-395

Patricia Pepple Williamson

Probability and Computing: Randomized Algorithms and Probabilistic Analysis. Michael Mitzenmacher and Eli Upfal pp. 395-396

Max Buot

Statistical Design of Experiments With Engineering Applications. Kamel Rekab and Muzaffar Shaikh pp. 396-397

Anderson-Cook, Christine M.

Probability and Probabilistic Reasoning for Electrical Engineering. Terrence L. Fine pp. 396-396

Matthew Carlton

Evolution of Biological Systems in Random Media: Limit Theorems and Stability. Anatoly Swishchuk and Jianhong Wu. Dordrecht pp. 397-397

Alan F. Karr

Semiparametric Regression for the Applied Econometrician. Adonis Yatchew pp. 397-398

Fabio Trojani

Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models. Andrea Saltelli, Stefano Tarantola pp. 398-399

Mario Paruggia

Exploring Multivariate Data With the Forward Search. Anthony C. Atkinson, Marco Riani, and Andrea Cerioli pp. 398-398

Tathagata Banerjee

Exploratory Data Mining and Data Cleaning. Tamraparni Dasu and Theodore Johnson pp. 399-399

Alan F. Karr

Exploratory Data Analysis With MATLAB. Wendy L. Martinez and Angel R. Martinez pp. 399-400

Brian Jersky

Handling Missing Data: Applications to Environmental Analysis. G. Latini and G. Passerini pp. 400-401

Penelope S. Pooler

Categorical Data Analysis With SAS and SPSS Applications. Bayo Lawal, Categorical Data Analysis Using the SAS System (2nd ed.). Maura E. Stokes, Charles S. Davis, and Gary G. Koch pp. 400-400

Douglas Steinley

Analysis of Survey Data. R. L. Chambers and C. J. Skinner pp. 401-402

Stephen E. Fienberg

Nondetects and Data Analysis: Statistics for Censored Environmental Data. Dennis R. Helsel pp. 401-401

Philip Dixon

Longitudinal and Panel Data: Analysis and Applications in the Social Sciences. Edward W. Frees pp. 402-402

Michael D. Larsen

Handbook of Epidemiology. W. Ahrens and I. Pigeot pp. 402-403

Joseph Cavanaugh

Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, and Charles E. McCulloch pp. 403-404

Robert H. Lyles

Statistical Concepts and Applications in Clinical Medicine. John Aitchison, Jim W. Kay, and Ian J. Lauder. Boca Raton pp. 404-404

William F. Rosenberger

Epidemiology: Study Design and Data Analysis (2nd ed.). Mark Woodward pp. 404-405

Simon Davies

How Many People Do You Know in Prison?: Using Overdispersion in Count Data to Estimate Social Structure in Networks pp. 409-423

Tian Zheng, Matthew J. Salganik and Andrew Gelman

Conditional Inference Methods for Incomplete Poisson Data With Endogenous Time-Varying Covariates: Emergency Department Use Among HIV-Infected Women pp. 424-434

Jason Roy, Don Alderson, Joseph W. Hogan and Karen T. Tashima

A Bayesian Approach for Clustered Longitudinal Ordinal Outcome With Nonignorable Missing Data: Evaluation of an Asthma Education Program pp. 435-446

Niko A. Kaciroti, Trivellore E. Raghunathan, M. Anthony Schork, Noreen M. Clark and Molly Gong

Assessing Evidence Inconsistency in Mixed Treatment Comparisons pp. 447-459

Guobing Lu and A.E. Ades

Specifying and Implementing Nonparametric and Semiparametric Survival Estimators in Two-Stage (Nested) Cohort Studies With Missing Case Data pp. 460-471

Steven D. Mark and Hormuzd A. Katki

Forecasting Cause-Age Specific Mortality Using Two Random Processes pp. 472-483

Yousung Park, Jai Won Choi and Kim, Hee-Young

Advanced Distribution Theory for SiZer pp. 484-499

J. Hannig and J.S. Marron

Multicategory -Learning pp. 500-509

Yufeng Liu and Xiaotong Shen

Analysis of Failure Time Data Arising From Studies With Alternating Treatment Schedules pp. 510-520

Beth Ann Griffin and Stephen Lagakos

Bootstrap Approximations in Model Checks for Binary Data pp. 521-530

Gerhard Dikta, Marsel Kvesic and Christian Schmidt

Goodness-of-Fit Tests for Linear and Nonlinear Time Series Models pp. 531-541

Juan Carlos Escanciano

Bent-Cable Regression Theory and Applications pp. 542-553

Grace Chiu, Richard Lockhart and Richard Routledge

Optimal Model Assessment, Selection, and Combination pp. 554-568

Xiaotong Shen and Huang, Hsin-Cheng

Incorporating Additional Information to Normal Linear Discriminant Rules pp. 569-577

Miguel A. Fernandez, Cristina Rueda and Bonifacio Salvador

Random Forests and Adaptive Nearest Neighbors pp. 578-590

Yi Lin and Yongho Jeon

Semiparametric Normal Transformation Models for Spatially Correlated Survival Data pp. 591-603

Yi Li and Xihong Lin

Non-Gaussian Bayesian Geostatistical Modeling pp. 604-618

M. Blanca Palacios and Mark Steel

On the Large-Sample Minimal Coverage Probability of Confidence Intervals After Model Selection pp. 619-629

Paul Kabaila and Hannes Leeb

On Sliced Inverse Regression With High-Dimensional Covariates pp. 630-643

Lixing Zhu, Baiqi Miao and Heng Peng

Bounded-Influence Robust Estimation in Generalized Linear Latent Variable Models pp. 644-653

Irini Moustaki and Victoria-Feser, Maria-Pia

Outlier Detection in Multivariate Time Series by Projection Pursuit pp. 654-669

Pedro Galeano, Daniel Pena and Ruey S. Tsay

Semiparametric Transformation Models for Survival Data With a Cure Fraction pp. 670-684

Donglin Zeng, Guosheng Yin and Joseph G. Ibrahim

Inference in Semiparametric Dynamic Models for Binary Longitudinal Data pp. 685-700

Siddhartha Chib and Ivan Jeliazkov

Nonparametric Density Estimation From Covariate Information pp. 701-711

Ryan T. Elmore, Peter Hall and Vladimir S. Troynikov

Estimating Mean Dimensionality of Analysis of Variance Decompositions pp. 712-721

Ruixue Liu and Art B. Owen

Testing for Covariate Effects in the Fully Nonparametric Analysis of Covariance Model pp. 722-736

Lan Wang and Michael G. Akritas

On -Equivalence With the Best in k-Sample Models pp. 737-746

H. Finner and K. Strassburger

Optimal Designs for DoseResponse Models With Restricted Design Spaces pp. 747-759

Stefanie Biedermann, Holger Dette and Wei Zhu

Bayesian Sample Size Determination for Case-Control Studies pp. 760-772

M'Lan, Cyr Emile, Lawrence Joseph and David B. Wolfson

A Class of Latent Marginal Models for CaptureRecapture Data With Continuous Covariates pp. 786-794

Francesco Bartolucci and Antonio Forcina

Large-Sample Joint Posterior Approximations When Full Conditionals Are Approximately Normal: Application to Generalized Linear Mixed Models pp. 795-811

Su, Chun-Lung and Wesley O. Johnson

On the Correlation Matrix of the Discrete Fourier Transform and the Fast Solution of Large Toeplitz Systems for Long-Memory Time Series pp. 812-822

Willa W. Chen, Clifford M. Hurvich and Yi Lu

A Constructive Representation of Univariate Skewed Distributions pp. 823-829

Jose T.A.S. Ferreira and Mark Steel

On Convergence and Bias Correction of a Joint Estimation Algorithm for Multiple Sinusoidal Frequencies pp. 830-842

Song, Kai-Sheng and Li, Ta-Hsin

Encyclopedia of Biostatistics (2nd ed.). Peter Armitage and Theodore Colton pp. 844-844

Joseph Cavanaugh

Bayesian Models for Categorical Data. Peter Congdon pp. 844-845

David H. Annis

Stochastic Inequalities and Applications. Evariste Gine, Christian Houdre, and David Nualart pp. 845-846

Marc Yor

Probability: A Graduate Course. Allan Gut pp. 845-845

Damir Filipovic

Statistical Inference for Ergodic Diffusion Processes. Yury A. Kutoyants pp. 846-846

Peter C. Kiessler

Testing Statistical Hypotheses (3rd ed.). E. L. Lehmann and Joseph P. Romano pp. 847-848

Andrew A. Neath

Modeling and Inverse Problems in Image Analysis. Bernard Chalmond pp. 847-847

Don Geman

Inference for Change Point and Post Change Means After a CUSUM Test. Yanhong Wu pp. 848-848

Vladimir Dragalin

The Analysis of Means: A Graphical Method for Comparing Means, Rates, and Proportions. Peter R. Nelson, Peter S. Wludyka, and Karen A. F. Copeland pp. 848-849

Thomas E. Bradstreet

Statistics and Finance: An Introduction. David Ruppert pp. 849-850

Eric Zivot

Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management (2nd ed.). Jean-Philippe Bouchaud and Marc Potters pp. 850-852

Wolfgang Breymann

Nonparametric Statistical Methods for Complete and Censored Data. M. M. Desu and D. Raghavarao pp. 852-853

Edsel A. Pena

Design and Analysis of Experiments, Vol. 2: Advanced Experimental Design. Klaus Hinkelmann and Oscar Kempthorne pp. 853-854

Kathleen F. Kerr

Clustering for Data Mining: A Data Recovery Approach. Boris Mirkin pp. 854-855

Samuel E. Buttrey

Estimation in Surveys With Nonresponse. Carl-Erik Sarndal and Sixten Lundstrom pp. 854-854

Mariano Ruiz Espejo and Miguel Delgado Pineda

Statistics for Microarrays: Design, Analysis and Inference. Ernst Wit and John McClure pp. 855-856

J. Wade Davis

An Introduction to Bioinformatics Algorithms. Neil C. Jones and Pavel A. Pevzner pp. 855-855

Webb Miller

Computational Statistics. Geof H. Givens and Jennifer A. Hoeting pp. 856-857

Galin L. Jones

An R and S-Plus Companion to Multivariate Analysis. Brian S. Everitt pp. 857-858

Ulric J. Lund

Developing Statistical Software in Fortran 95. David R. Lemmon and Joseph L. Schafer pp. 857-857

Ross Ihaka

Analysis of Clinical Trials Using SAS: A Practical Guide. Alex Dmitrienko, Geert Molenberghs, Christy Chuang-Stein, and Walter Offen pp. 858-858

Valerie L. Durkalski

Correction to Censored Regression Quantiles by S. Portnoy, 98 (2003), 10011012 pp. 860-861

Tereza Neocleous, Karlien Vanden Branden and Stephen Portnoy

Recidivism and Social Interactions pp. 863-877

Sibel Sirakaya

Testing for Racial Profiling in Traffic Stops From Behind a Veil of Darkness pp. 878-887

Jeffrey Grogger and Greg Ridgeway

Randomization Inference With Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election pp. 888-900

Daniel E. Ho and Kosuke Imai

Evaluating Kindergarten Retention Policy: A Case Study of Causal Inference for Multilevel Observational Data pp. 901-910

Guanglei Hong and Stephen W. Raudenbush

A Hierarchical Multivariate Two-Part Model for Profiling Providers' Effects on Health Care Charges pp. 911-923

John W. Robinson, Scott L. Zeger and Christopher B. Forrest

Multiple Imputation of Missing Income Data in the National Health Interview Survey pp. 924-933

Nathaniel Schenker, Trivellore E. Raghunathan, Chiu, Pei-Lu, Diane M. Makuc, Guangyu Zhang and Alan J. Cohen

Bayesian Inference for a Two-Part Hierarchical Model: An Application to Profiling Providers in Managed Health Care pp. 934-945

Min Zhang, Robert L. Strawderman, Mark E. Cowen and Martin T. Wells

Investigating Heterogeneity in Pneumococcal Transmission: A Bayesian MCMC Approach Applied to a Follow-up of Schools pp. 946-958

Simon Cauchemez, Laura Temime, Didier Guillemot, Emmanuelle Varon, Valleron, Alain-Jacques, Guy Thomas and Boelle, Pierre-Yves

Trees for Correlated Survival Data by Goodness of Split, With Applications to Tooth Prognosis pp. 959-967

Juanjuan Fan, Su, Xiao-Gang, Richard A. Levine, Martha E. Nunn and Michael LeBlanc

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime-Switching SpaceTime Method pp. 968-979

Tilmann Gneiting, Kristin Larson, Kenneth Westrick, Marc G. Genton and Eric Aldrich

Quantile Autoregression pp. 980-990

Roger Koenker and Zhijie Xiao

Comment pp. 991-994

Jianqing Fan and Yingying Fan

Comment pp. 994-996

Keith Knight

Comment pp. 996-998

Marc Hallin and Bas J.M. Werker

Comment pp. 998-1001

Christian Matthias Hafner and Oliver Bruce Linton

Comment pp. 1001-1002

P.M. Robinson

Rejoinder pp. 1002-1006

Roger Koenker and Zhijie Xiao

Functional Variance Processes pp. 1007-1018

Muller, Hans-Georg, Ulrich Stadtmuller and Fang Yao

Estimation in Multiple-Frame Surveys pp. 1019-1030

Sharon Lohr and J.N.K. Rao

Optimal and Efficient Crossover Designs When Subject Effects Are Random pp. 1031-1038

A.S. Hedayat, John Stufken and Min Yang

On Lower Tolerance Limits With Accurate Coverage Probabilities for the Normal Random Effects Model pp. 1039-1049

Chen, Shun-Yi and Bernard Harris

Statistical Inference for the Difference Between the Best Treatment Mean and a Control Mean pp. 1050-1058

Lee, Chu-In Charles, Jianan Peng and Lin Liu

Estimation in Linear Models Based on Observations With Unknown and Possibly Unequal Scaling pp. 1059-1064

Soren Tolver Jensen and Jesper Madsen

Geoadditive Survival Models pp. 1065-1075

Andrea Hennerfeind, Andreas Brezger and Ludwig Fahrmeir

Locally Efficient Estimation With Bivariate Right-Censored Data pp. 1076-1084

Christopher M. Quale, Mark J. van der Laan and James R. Robins

Rank Estimation of Accelerated Lifetime Models With Dependent Censoring pp. 1085-1093

Limin Peng and Jason P. Fine

Estimating a Unimodal Distribution From Interval-Censored Data pp. 1094-1106

Lutz Dumbgen, Freitag-Wolf, Sandra and Geurt Jongbloed

Nonparametric Two-Sample Methods for Ranked-Set Sample Data pp. 1107-1118

Michael A. Fligner and Steven N. MacEachern

A Statistical Measure of Regularity for the Study of Wind-Generated Wave Field Images pp. 1119-1131

O'Sullivan, Finbarr and Kingshuk Roy Choudhury

Bayes Linear Calibrated Prediction for Complex Systems pp. 1132-1143

Michael Goldstein and Jonathan Rougier

Likelihood Subgradient Densities pp. 1144-1156

Kjell Nygren and Lan Ma Nygren

Post-Processing Posterior Predictive p Values pp. 1157-1174

Nils Lid Hjort, Fredrik A. Dahl and Gunnhildur Hognadottir Steinbakk

Generalized Poststratification and Importance Sampling for Subsampled Markov Chain Monte Carlo Estimation pp. 1175-1184

Subharup Guha and Steven N. MacEachern

On m out of n Bootstrapping for Nonstandard M-Estimation With Nuisance Parameters pp. 1185-1197

Stephen M.S. Lee and M.C. Pun

Principal Components Analysis Based on Multivariate MM Estimators With Fast and Robust Bootstrap pp. 1198-1211

Salibian-Barrera, Matias, Stefan Van Aelst and Gert Willems

Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration pp. 1212-1227

Lijian Yang, Byeong U. Park, Lan Xue and Wolfgang Karl Härdle

Efficient Estimation of Semiparametric Multivariate Copula Models pp. 1228-1240

Xiaohong Chen, Yanqin Fan and Viktor Tsyrennikov

Modeling Marked Point Processes via Bivariate Mixture Transition Distribution Models pp. 1241-1252

Mohamed Yusuf Hassan and Lii, Keh-Shin

Distribution of Runs and Longest Runs: A New Generating Function Approach pp. 1253-1263

Yong Kong

Robust M Tests Without Consistent Estimation of the Asymptotic Covariance Matrix pp. 1264-1275

Chung-Ming Kuan and Lee, Wei-Ming

Doubly Robust Estimation of the Area Under the Receiver-Operating Characteristic Curve in the Presence of Verification Bias pp. 1276-1288

Andrea Rotnitzky, David Faraggi and Enrique Schisterman

Tests of Spatial Randomness Adjusted for an Inhomogeneity: A General Framework pp. 1289-1305

Martin Kulldorff

Models for Discrete Longitudinal Data. Geert Molenberghs and Geert Verbeke pp. 1307-1307

John Williamson

Fixed Effects Regression Methods for Longitudinal Data Using SAS. Paul D. Allison pp. 1308-1308

John M. Neuhaus

Nonparametric and Semiparametric Models. Wolfgang Hardle, Marlene Muller, Stefan Sperlich, and Axel Werwatz pp. 1308-1309

Paul Speckman

Generalized Method of Moments. Alastair R. Hall pp. 1309-1310

Dell'Aquila, Rosario

Analysis of Variance for Random Models: Theory, Methods, Applications, and Data Analysis, Vol. 2: Unbalanced Data. Hardeo Sahai and Mario Miguel Ojeda pp. 1310-1310

James G. Booth

Survey Methodology. Robert M. Groves, Floyd J. Fowler Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, and Roger Tourangeau pp. 1310-1311

Sarah M. Nusser

Environmental Statistics: Methods and Applications. Vic Barnett pp. 1311-1312

Christopher K. Wikle

Statistical Methods in Molecular Evolution. Rasmus Nielsen (ed.) pp. 1312-1313

Marek Kimmel

Analysis and Modelling of Spatial Environmental Data. Mikhail Kanevski and Michel Maignan pp. 1312-1312

Stephan R. Sain

Contemporary Bayesian Econometrics and Statistics. John Geweke pp. 1313-1314

Thomas Otter

Bayesian Nonparametrics via Neural Networks. Herbert K. H. Lee pp. 1313-1313

Malay Ghosh

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing. Daniel B. Rowe pp. 1314-1315

Christopher Genovese

Financial Modelling With Jump Processes. Rama Cont and Peter Tankov pp. 1315-1316

N.H. Bingham

Insurance Risk and Ruin. David C. M. Dickson pp. 1316-1316

Hanspeter Schmidli

Flowgraph Models for Multistate Time-to-Event Data. Aparna V. Huzurbazar pp. 1316-1317

John P. Klein

Random Graphs for Statistical Pattern Recognition. David J. Marchette pp. 1317-1317

Alan F. Karr

Applied Data Mining: Statistical Methods for Business and Industry. Paolo Giudici pp. 1317-1318

Richard J. Cleary

Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions pp. 1323-1332

Ming Yuan and Christina Kendziorski

Discussion pp. 1332-1334

Hongzhe Li and Fangxin Hong

Discussion pp. 1334-1338

Dan Nettleton

Rejoinder pp. 1338-1340

Ming Yuan and Christina Kendziorski

A Bayesian Approach for Incorporating Variable Rates of Heterogeneity in Linkage Analysis pp. 1341-1351

Swati Biswas and Shili Lin

Using Wavelet-Based Functional Mixed Models to Characterize Population Heterogeneity in Accelerometer Profiles: A Case Study pp. 1352-1364

Jeffrey S. Morris, Cassandra Arroyo, Brent A. Coull, Louise M. Ryan, Richard Herrick and Steven L. Gortmaker

A Nonstationary Negative Binomial Time Series With Time-Dependent Covariates: Enterococcus Counts in Boston Harbor pp. 1365-1376

E. Andres Houseman, Brent A. Coull and James P. Shine

Nonparametric Modeling of the Left Censorship of Analytical Data in Food Risk Assessment pp. 1377-1386

Jessica Tressou

Small-Area Estimation With StateSpace Models Subject to Benchmark Constraints pp. 1387-1397

Danny Pfeffermann and Richard Tiller

What Do Randomized Studies of Housing Mobility Demonstrate?: Causal Inference in the Face of Interference pp. 1398-1407

Michael E. Sobel

Exceedance Control of the False Discovery Proportion pp. 1408-1417

Christopher R. Genovese and Larry Wasserman

The Adaptive Lasso and Its Oracle Properties pp. 1418-1429

Hui Zou

Estimating Network Loss Rates Using Active Tomography pp. 1430-1448

Bowei Xi, George Michailidis and Vijayan N. Nair

Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model pp. 1449-1464

Nils Lid Hjort and Gerda Claeskens

Locally Efficient Estimators for Semiparametric Models With Measurement Error pp. 1465-1474

Yanyuan Ma and Raymond J. Carroll

Robust Estimation of Mixture Complexity pp. 1475-1486

Woo, Mi-Ja and T.N. Sriram

Bayesian Wombling: Curvilinear Gradient Assessment Under Spatial Process Models pp. 1487-1501

Sudipto Banerjee and Alan E. Gelfand

A Composite Likelihood Approach in Fitting Spatial Point Process Models pp. 1502-1512

Yongtao Guan

Nonparametric Analysis of Factorial Designs With Random Missingness: Bivariate Data pp. 1513-1526

Michael G. Akritas, Efi S. Antoniou and Jouni Kuha

Empirical Bayesian Analysis for Computer Experiments Involving Finite-Difference Codes pp. 1527-1536

Dorin Drignei and Max D. Morris

Fixed-Width Output Analysis for Markov Chain Monte Carlo pp. 1537-1547

Galin L. Jones, Murali Haran, Brian S. Caffo and Ronald Neath

Inference for Mixtures of Finite Polya Tree Models pp. 1548-1565

Timothy E. Hanson

Hierarchical Dirichlet Processes pp. 1566-1581

Yee Whye Teh, Michael . Jordan, Matthew J. Beal and David M. Blei

A Monte Carlo Approach to Filtering for a Class of Marked Doubly Stochastic Poisson Processes pp. 1582-1597

Silvia Centanni and Marco Minozzo

Generalized Exponential Predictors for Time Series Forecasting pp. 1598-1606

Prabir Burman and Robert H. Shumway

Regression and Weighting Methods for Causal Inference Using Instrumental Variables pp. 1607-1618

Zhiqiang Tan

A Distributional Approach for Causal Inference Using Propensity Scores pp. 1619-1637

Zhiqiang Tan

Fourier Methods for Estimating the Central Subspace and the Central Mean Subspace in Regression pp. 1638-1651

Yu Zhu and Peng Zeng

Families of Multivariate Distributions Involving the Rosenblatt Construction pp. 1652-1662

Barry C. Arnold, Enrique Castillo and Jose Maria Sarabia

Inference on the Number of Species Through Geometric Lower Bounds pp. 1663-1670

Chang Xuan Mao

Optimizing the Expected Overlap of Survey Samples via the Northwest Corner Rule pp. 1671-1679

Lenka Mach, Philip T. Reiss and Schiopu-Kratina, Ioana

Algorithms for Constructing Combined Strata Variance Estimators pp. 1680-1692

Wilson W. Lu, J. Michael Brick and Randy R. Sitter

Concomitants of Multivariate Order Statistics With Application to Judgment Poststratification pp. 1693-1704

Xinlei Wang, Lynne Stokes, Johan Lim and Min Chen

The Hazard Potential: Introduction and Overview pp. 1705-1717

Nozer D. Singpurwalla

Introduction to Statistical Thought. Michael Lavine pp. 1719-1719

Steven N. MacEachern

The Grammar of Graphics. Leland Wilkinson pp. 1719-1720

Thomas E. Bradstreet

Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). George E. P. Box, J. Stuart Hunter, and William G. Hunter pp. 1720-1721

Terry Speed

Introduction to Nonparametric Regression. Kunio Takezawa pp. 1721-1722

Willis A. Jensen

Kendall's Advanced Theory of Statistics, Vol. 1: Distribution Theory (6th ed.). Alan Stuart and J. Keith Ord; Kendall's Advanced Theory of Statistics, Vol. 2A: Classical Inference and the Linear Model (6th ed.). Alan Stuart and J. Keith Ord, and Steven F. Arnold pp. 1721-1721

David H. Annis

Semiparametric Regression. David Ruppert, M. P. Wand, and R. J. Carroll pp. 1722-1723

Yoonkyung Lee

Quantile Regression. Roger Koenker pp. 1723-1723

Jana Jureckova

Mixed Models: Theory and Applications. Eugene Demidenko pp. 1724-1726

Edward F. Vonesh

Generalized, Linear, and Mixed Models. Charles E. McCulloch and Shayle R. Searle pp. 1724-1724

Mary Kathryn Cowles

Modeling Longitudinal Data. Robert E. Weiss pp. 1726-1727

Zhigang Zhang

Linear Models for Optimal Test Design. Wim J. van der Linden pp. 1727-1727

Jeffrey Douglas

Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals. Thomas W. O'Gorman pp. 1727-1728

Russell V. Lenth

Functional Analysis for Probability and Stochastic Processes: An Introduction. Adam Bobrowski pp. 1728-1728

N.H. Bingham

SAS for Monte Carlo Studies: A Guide for Quantitative Researchers. Xitao Fan, Akos Felsovalyi, Stephen A. Sivo, and Sean C. Keenan pp. 1728-1729

Jeff M. Allen

Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician. Nicholas T. Longford pp. 1729-1730

Monica Pratesi and Nicola Salvati

Kernel Methods for Pattern Analysis. John Shawe-Taylor and Nello Cristianini pp. 1730-1730

M. Last

Introductory Econometrics: Using Monte Carlo Simulation With Microsoft Excel. Humberto Barreto and Frank M. Howland pp. 1730-1731

Ryan E. Wiegand

Binomial Models in Finance. John van der Hoek and Robert J. Elliott pp. 1731-1731

Wai F. Chiu

Quantitative Risk Management: Concepts, Techniques, and Tools. Alexander J. McNeil, Rudiger Frey, and Paul Embrechts pp. 1731-1732

Anderson-Cook, Christine M.

Bayesian Statistics and Marketing. Peter Rossi, Greg Allenby, and Rob McCulloch pp. 1732-1733

David H. Annis

Forecasting: Practice and Process for Demand Management. Hans Levenbach and James P. Cleary pp. 1732-1732

Ginger M. Davis

Statistical Modelling in Glim4 (2nd ed.). Murray Aitkin, Brian Francis, and John Hinde pp. 1733-1734

Daniel B. Hall

Statistical Monitoring of Clinical Trials: Fundamentals for Investigators. Lemuel A. Moye pp. 1734-1734

Debajyoti Sinha

Handbook of Exponential and Related Distributions for Engineers and Scientists. Nabendu Pal, Chun Jin, and Wooi K. Lim pp. 1734-1735

Charles Annis