Journal of the American Statistical Association

2001 - 2011

Continued by Journal of the American Statistical Association.

Current editor(s): Leonard A. Stefanski

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2007, volume 102

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 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 Chih-Ling Tsai

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

Ming-Yen Cheng 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

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

Paul Havlak

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

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

Greg Ridgeway

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

Jane L. Harvill

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

David Brownstone

From Data to Policy: Scientific Excellence Is Our Future pp. 395-399

Sallie Keller-McNulty

Model-Assisted Estimation of Forest Resources With Generalized Additive Models pp. 400-409

Jean D. Opsomer, F. Jay Breidt, Gretchen G. Moisen and Goran Kauermann

Comment pp. 409-411

David Ruppert

Comment pp. 411-412

Mary C. Christman

Comment pp. 412-415

Roderick Little

Rejoinder pp. 415-416

Jean D. Opsomer, F. Jay Breidt, Gretchen G. Moisen and Goran Kauermann

Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging pp. 417-431

Michael Smith and Ludwig Fahrmeir

Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors pp. 432-441

Brent Kreider and John Pepper

Spatiotemporal Models for Region of Interest Analyses of Functional Neuroimaging Data pp. 442-453

F. Dubois Bowman

An pp. 454-463

Kristin N. Javaras and Brian D. Ripley

Accounting for Spatial Dependence in the Analysis of SPECT Brain Imaging Data pp. 464-473

Jeffrey S. Spence, Patrick S. Carmack, Richard F. Gunst, William R. Schucany, Wayne A. Woodward and Robert W. Haley

Combining Information From Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening pp. 474-486

Trivellore E. Raghunathan, Dawei Xie, Nathaniel Schenker, Van L. Parsons, William W. Davis, Kevin W. Dodd and Eric J. Feuer

Multiple Testing of General Contrasts: Truncated Closure and the Extended ShafferRoyen Method pp. 487-494

Peter H. Westfall and Randall D. Tobias

Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons pp. 495-506

Jiashun Jin and T. Tony Cai

Shotgun Stochastic Search for pp. 507-516

Chris Hans, Adrian Dobra and Mike West

Multiple Hypothesis Testing by Clustering Treatment Effects pp. 517-526

David B. Dahl and Michael A. Newton

Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models pp. 527-537

Hajime Uno, Tianxi Cai, Lu Tian and L.J. Wei

Partially Linear Hazard Regression for Multivariate Survival Data pp. 538-551

Jianwen Cai, Jianqing Fan, Jiancheng Jiang and Haibo Zhou

Smoothed Rank Regression With Censored Data pp. 552-559

Glenn Heller

Flexible Cure Rate Modeling Under Latent Activation Schemes pp. 560-572

Freda Cooner, Sudipto Banerjee, Bradley P. Carlin and Debajyoti Sinha

Sensitivity Analyses Comparing Time-to-Event Outcomes Existing Only in a Subset Selected Postrandomization pp. 573-582

Bryan E. Shepherd, Peter B. Gilbert and Thomas Lumley

On L1-Norm Multiclass Support Vector Machines: Methodology and Theory pp. 583-594

Lifeng Wang and Xiaotong Shen

Scan Statistics With Weighted Observations pp. 595-602

Hock Peng Chan and Nancy Ruonan Zhang

Determining the Number of Factors in the General Dynamic Factor Model pp. 603-617

Marc Hallin and Roman Liska

Dynamic Integration of Time- and State-Domain Methods for Volatility Estimation pp. 618-631

Jianqing Fan, Yingying Fan and Jiancheng Jiang

Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function pp. 632-641

Jianqing Fan, Tao Huang and Runze Li

Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data pp. 642-654

Liugen Xue and Lixing Zhu

Optimal Incomplete Block Designs pp. 655-663

J.P. Morgan

Robust Model-Based and Model-Assisted Predictors of the Finite Population Total pp. 664-673

Yan Li and P. Lahiri

Model Averaging and Dimension Selection for the Singular Value Decomposition pp. 674-685

Peter D. Hoff

High-Dimension, LowSample Size Perspectives in Constrained Statistical Inference: The SARSCoV RNA Genome in Illustration pp. 686-694

Pranab K. Sen, Ming-Tien Tsai and Yuh-Shan Jou

Pivotal Bootstrap Methods for k-Sample Problems in Directional Statistics and Shape Analysis pp. 695-707

G.J.A. Amaral, I.L. Dryden and Andrew T.A. Wood

Nonparametric Tests for Perfect Judgment Rankings pp. 708-717

Jesse Frey, Omer Ozturk and Jayant V. Deshpande

Smooth Location-Dependent Bandwidth Selection for Local Polynomial Regression pp. 718-725

Ilya Gluhovsky and Alexander Gluhovsky

Semiparametric Estimation of Spectral Density With Irregular Observations pp. 726-735

Hae Kyung Im, Michael L. Stein and Zhengyuan Zhu

A Nonparametric Assessment of Properties of SpaceTime Covariance Functions pp. 736-744

Bo Li, Marc G. Genton and Michael Sherman

Jump Surface Estimation, Edge Detection, and Image Restoration pp. 745-756

Peihua Qiu

Simulation Techniques in Financial Risk Management. Ngai Hang Chan and Hoi Ying Wong pp. 758-759

Alexandra Dias

A First Course in Monte Carlo. george Fishman pp. 758-758

Brian Caffo

Robust Statistical Methods with R. Jana Jurecckova and Jan Picek pp. 759-760

David E. Tyler

Pattern Recognition Algorithms for Data Mining. Sankar K. Pal and Pabitra Mitra pp. 759-759

M. Last

Generalized Additive Models: An Introduction With R. Simon N. Wood pp. 760-761

Christine M. Anderson-Cook

Nonparametric Regression Methods for Longitudinal Data Analysis. Mixed-effects Modeling Approaches: Hulin Wu and Jin-Ting Zhang pp. 761-761

Ciprian M. Crainiceanu

Theory of Preliminary Test and Stein-Type Estimation With Applications. A. K. Md. Ehsanes Saleh pp. 762-762

William E. Strawderman

Test Equating, Scaling, and Linking: Methods and Practices (2nd ed.). Michael J. Kolen and Robert L. Brennan pp. 762-763

Thomas R. Boucher

Advanced Distance Sampling: Estimating Abundance of Biological Populations. S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas pp. 763-764

Tore Schweder

Exact Analysis of Discrete Data. Karim F. Hirji pp. 764-765

James G. Booth

Introductory Stochastic Analysis for Finance and Insurance. X. Sheldon Lin pp. 765-766

Thorsten Rheinlander

A Modern Theory of Factorial Design. Rahul Mukerjee and C. F. Jeff Wu pp. 765-765

Christine M. Anderson-Cook

Advanced Statistics from an Elementary Point of View. Michael J. Panik pp. 766-767

Mitchell Watnik

Measures, Integrals and Martingales. Rene L. Schilling pp. 766-766

Filip Lindskog

Biostatistics: a Bayesian Introduction. George G. Woodworth pp. 767-768

Debajyoti Sinha

Applied Statistics for Engineers and Scientists (2nd ed.). Jay L. Devore and Nicholas R. Farnum pp. 767-767

Webster West

Subjective Likelihood for the Assessment of Trends in the Ocean's Mixed-Layer Depth pp. 771-780

Ana Grohovac Rappold, Michael Lavine and Susan Lozier

Comment pp. 780-781

Robert N. Miller

Comment pp. 781-782

Joseph B. Kadane

Comment pp. 782-784

Robert L. Wolpert

Rejoinder pp. 785-787

Ana Grohovac Rappold, Michael Lavine and Susan Lozier

Oscillations and Time Trends in Stratospheric Ozone Levels: A Functional Data Analysis Approach pp. 788-802

Wendy Meiring

Semiparametric Mixed Models for Increment-Averaged Data With Application to Carbon Sequestration in Agricultural Soils pp. 803-812

F. Jay Breidt, Nan-Jung Hsu and Stephen Ogle

An Analysis of the New York City Police Department's pp. 813-823

Andrew Gelman, Jeffrey Fagan and Alex Kiss

Bayesian Spatial Modeling of Extreme Precipitation Return Levels pp. 824-840

Daniel Cooley, Douglas Nychka and Philippe Naveau

A Statistical Framework of Optimal Workload Consolidation With Application to Capacity Planning for On-Demand Computing pp. 841-855

Ta-Hsin Li

Structured Measurement Error in Nutritional Epidemiology: Applications in the Pregnancy, Infection, and Nutrition (PIN) Study pp. 856-866

Brent A. Johnson, Amy H. Herring, Joseph G. Ibrahim and Anna Maria Siega-Riz

Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks pp. 867-880

Mayetri Gupta and Joseph G. Ibrahim

Implementation of Estimating Function-Based Inference Procedures With Markov Chain Monte Carlo Samplers pp. 881-888

Lu Tian, Jun S. Liu and L.J. Wei

Comment pp. 889-890

Xuming He and Feifang Hu

Comment pp. 890-893

John D. Kalbfleisch and Wenyu Jiang

Comment pp. 893-893

Joseph G. Ibrahim and Hongtu Zhu

Comment pp. 896-896

Michael R. Kosorok and Jason P. Fine

Rejoinder pp. 897-900

Lu Tian, Jun Liu and L.J. Wei

Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control pp. 901-912

Wenguang Sun and T. Tony Cai

Detecting Sparse Signals in Random Fields, With an Application to Brain Mapping pp. 913-928

Jonathan E. Taylor and Keith J. Worsley

Importance Sampling for Estimating p Values in Linkage Analysis pp. 929-937

Jianxin Shi, David Siegmund and Benny Yakir

Optimal Tests of Noncorrelation Between Multivariate Time Series pp. 938-951

Marc Hallin and Abdessamad Saidi

Longitudinal Studies With Outcome-Dependent Follow-up: Models and Bayesian Regression pp. 952-961

Duchwan Ryu, Debajyoti Sinha, Bani Mallick, Stuart R. Lipsitz and Steven E. Lipshultz

Bayesian Curve Classification Using Wavelets pp. 962-973

Xiaohui Wang, Shubhankar Ray and Bani K. Mallick

Robust Truncated Hinge Loss Support Vector Machines pp. 974-983

YichaoWu, and Yufeng Liu

Functional Principal Component Regression and Functional Partial Least Squares pp. 984-996

Philip T. Reiss and R. Todd Ogden

On Directional Regression for Dimension Reduction pp. 997-1008

Bing Li and Shaoli Wang

Optimal Geostatistical Model Selection pp. 1009-1024

Hsin-Cheng Huang and Chun-Shu Chen

Variable Selection in Finite Mixture of Regression Models pp. 1025-1038

Abbas Khalili and Jiahua Chen

Unified LASSO Estimation by Least Squares Approximation pp. 1039-1048

Hansheng Wang and Chenlei Leng

Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions pp. 1049-1058

Dylan S. Small

Robust Modeling for Inference From Generalized Linear Model Classes pp. 1059-1072

Maengseok Noh and Youngjo Lee

Encyclopedia of Statistical Sciences (2nd ed.). Samuel Kotz, Campbell B. Read, N. Balakrishnan, and Brani Vidakovic pp. 1074-1075

Joseph Cavanaugh

Longitudinal Data Analysis. Donald Hedeker and Robert D. Gibbons pp. 1075-1075

Vincent J. Carey

Applied MANOVA and Discriminant Analysis (2nd ed.). Carl J. Huberty and Stephen Olejnik pp. 1075-1076

Anil K. Ghosh

Statistical Matching: Theory and Practice. Marcello D'Orazio, Marco Di Zio, and Mauro Scanu pp. 1076-1077

Fritz Scheuren

Nonparametric Functional Data Analysis: Theory and Practice. Frederic Ferraty and Philippe Vieu pp. 1077-1077

Mark Greenwood

Point Process Theory and Applications: Marked Point and Piecewise Deterministic Processes. Martin Jacobsen pp. 1077-1078

Martin Schlather

Probabilistic Symmetries and Invariance Principles. Olav Kallenberg pp. 1078-1079

Charles M. Goldie

Measure Theory and Probability Theory. Krishna B. Athreya and Soumendra N. Lahiri pp. 1078-1078

Peter C. Kiessler

Time Series Analysis and Its Applications: With R Examples (2nd ed.). Robert H. Shumway and David S. Stoffer pp. 1079-1079

Robert Lund

Automatic Nonuniform Random Variate Generation. Wolfgang Hormann, Josef Leydold, and Gerhard Derflinger pp. 1079-1080

Mary Kathryn Cowles

Using Statistical Methods for Water Quality Management: Issues, Problems, and Solutions. Graham B. McBride pp. 1080-1080

Bryan Manly

Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data pp. 1085-1102

Hongtu Zhu, Heping Zhang, Joseph G. Ibrahim and Bradley S. Peterson

Comment pp. 1102-1102

Armin Schwartzman

Comment pp. 1105-1105

Nicole A. Lazar

Rejoinder pp. 1110-1110

Hongtu Zhu, Heping Zhang, Joseph G. Ibrahim and Bradley S. Peterson

Gait-Based Human Recognition by Classification of Cyclostationary Processes on Nonlinear Shape Manifolds pp. 1114-1124

David Kaziska and Anuj Srivastava

Comment pp. 1124-1124

Kanti V. Mardia

Comment pp. 1126-1127

Rama Chellappa and Ashok Veeraraghavan

Rejoinder pp. 1127-1127

David M. Kaziska and Anuj Srivastava

Local Smoothing Image Segmentation for Spotted Microarray Images pp. 1129-1144

Peihua Qiu and Jingran Sun

A Multiresolution Hazard Model for Multicenter Survival Studies: Application to Tamoxifen Treatment in Early Stage Breast Cancer pp. 1145-1157

Peter Bouman, Xiao-Li Meng, James Dignam and Vanja Dukic

Bayesian Multivariate Isotonic Regression Splines: Applications to Carcinogenicity Studies pp. 1158-1171

Bo Cai and David B. Dunson

Testing Forecast Optimality Under Unknown Loss pp. 1172-1184

Andrew Patton and Allan Timmermann

Bayesian Forecasting of an Inhomogeneous Poisson Process With Applications to Call Center Data pp. 1185-1198

Jonathan Weinberg, Lawrence D. Brown and Jonathan R. Stroud

On the Estimation of Disability-Free Life Expectancy: Sullivan's Method and Its Extension pp. 1199-1211

Kosuke Imai and Samir Soneji

Incorporating Historical Control Data When Comparing Tumor Incidence Rates pp. 1212-1220

Shyamal D. Peddada, Gregg E. Dinse and Grace E. Kissling

High-Resolution SpaceTime Ozone Modeling for Assessing Trends pp. 1221-1234

Sujit K. Sahu, Alan E. Gelfand and David M. Holland

Inference of Tamoxifen's Effects on Prevention of Breast Cancer From a Randomized Controlled Trial pp. 1235-1244

Yu Shen, Jing Qin and Joseph P. Costantino

Bayesian Analysis of Frequency of Allelic Loss Data pp. 1245-1253

Hanwen Huang, Fei Zou and Fred A. Wright

Estimating Time to Event From Longitudinal Categorical Data: An Analysis of Multiple Sclerosis Progression pp. 1254-1266

Micha Mandel, Susan A. Gauthier, Charles R.G. Guttmann, Howard L. Weiner and Rebecca A. Betensky

Distance-Weighted Discrimination pp. 1267-1271

J.S. Marron, Michael Todd and Jeongyoun Ahn

False Discovery Rates for Spatial Signals pp. 1272-1281

Yoav Benjamini and Ruth Heller

To How Many Simultaneous Hypothesis Tests Can Normal, Student's t or Bootstrap Calibration Be Applied? pp. 1282-1288

Jianqing Fan, Peter Hall and Qiwei Yao

Robust Linear Model Selection Based on Least Angle Regression pp. 1289-1299

Jafar A. Khan, Stefan Van Aelst and Ruben H. Zamar

Weighted Repeated Median Smoothing and Filtering pp. 1300-1308

Roland Fried, Jochen Einbeck and Ursula Gather

Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random pp. 1309-1317

Qingxia Chen, Donglin Zeng and Joseph G. Ibrahim

Unbalanced Haar Technique for Nonparametric Function Estimation pp. 1318-1327

Piotr Fryzlewicz

A Note on Penalized Spline Smoothing With Correlated Errors pp. 1328-1337

Tatyana Krivobokova and Goran Kauermann

Portmanteau Test of Independence for Functional Observations pp. 1338-1348

Robertas Gabrys and Piotr Kokoszka

Multi-Scale Jump and Volatility Analysis for High-Frequency Financial Data pp. 1349-1362

Jianqing Fan and Yazhen Wang

Rank-Based Extensions of the Brock, Dechert, and Scheinkman Test pp. 1363-1376

Christian Genest, Kilani Ghoudi and Bruno Remillard

A Thinned Block Bootstrap Variance Estimation Procedure for Inhomogeneous Spatial Point Patterns pp. 1377-1386

Yongtao Guan and Ji Meng Loh

Efficient Estimation for the Accelerated Failure Time Model pp. 1387-1396

Donglin Zeng and D.Y. Lin

Regression Analysis of Longitudinal Data in the Presence of Informative Observation and Censoring Times pp. 1397-1406

Jianguo Sun, Liuquan Sun and Dandan Liu

Nonparametric Association Analysis of Bivariate Competing-Risks Data pp. 1407-1415

Yu Cheng, Jason P. Fine and Michael R. Kosorok

Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem pp. 1416-1426

Aurore Delaigle and Alexander Meister

Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas pp. 1427-1439

Danny Pfeffermann and Michail Sverchkov

A Robust-Likelihood Cumulative Sum Chart pp. 1440-1447

Steven N. MacEachern, Youlan Rao and Chunjie Wu

Sequential Implementation of Stepwise Procedures for Identifying the Maximum Tolerated Dose pp. 1448-1461

Ying Kuen Cheung

The Multiple Adaptations of Multiple Imputation pp. 1462-1471

Jerome P. Reiter and Trivellore E. Raghunathan

The Statistical Analysis of Interval-Censored Failure Time Data. Jianguo Sun pp. 1473-1474

Do-Hwan Park

Models for Intensive Longitudinal Data. Theodore A. Walls and Joseph L. Schafer pp. 1473-1473

Daniel B. Hall

Dynamic Regression Models for Survival Data. Torben Martinussen and Thomas H. Scheike pp. 1474-1474

Debajyoti Sinha

Introductory Statistical Inference. Nitis Mukhopadhyay pp. 1474-1474

Tathagata Banerjee

DNA, Words and Models: Statistics of Exceptional Words. Stephane Robin, Francois Rodolphe, and Sophie Schbath pp. 1475-1475

J. Wade Davis

Reliability and Risk: A Bayesian Perspective. Nozer D. Singpurwalla pp. 1475-1475

Christian Genest

Operational Risks: Modeling Analytics. Harry H. Panjer pp. 1475-1476

Louis N. Ntasin

Probabilistic Applications of Tauberian Theorems. A. L. Yakimiv pp. 1476-1476

Peter C. Kiessler

Stochastic Processes in Science, Engineering, and Finance. Frank Beichelt pp. 1476-1477

Daren B.H. Cline

Analysis of Phylogenetics and Evolution With R. Emmanuel Paradis pp. 1477-1478

M. Last

Statistical Analysis of Environmental Space-Time Processes. Nhu D. Le and James V. Zidek pp. 1477-1477

Mevin B. Hooten

Extending the Linear Model With R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Julian J. Faraway pp. 1477-1477

Colin Gallagher

Bootstrap Techniques for Signal Processing. Abdelhak M. Zoubir and D. Robert Iskander pp. 1478-1479

Angelo J. Canty

The Theory of Response-Adaptive Randomization in Clinical Trials. Feifang Hu and William F. Rosenberger pp. 1479-1479

Christopher Assaid

Latent Curve Models: A Structural Equation Approach. Kenneth A. Bollen and Patrick J. Curran pp. 1479-1481

Alexander J. McNeil

Social Choice With Partial Knowledge of Treatment Response. Charles F. Manski pp. 1481-1481

Ben Alamar

A Few Remarks on pp. 1485-1486

Witold Bednorz and Krzysztof Latuszynski