Following the Bayesian contributions, Dan Nettleton addresses cell supremacy in “Testing for the Supremacy of a Multinomial Cell Probability”; M. Lu, Y. Zhang, and J. Huang write “Semiparametric Estimation Methods for Panel Count Data Using Monotone B-Splines”; D. Chafa and D. Concordet construct “Confidence Regions for the Multinomial Parameter with Small Sample Size”; and C. M. Schafer and P. B. Stark present “Constructing Confidence Regions of Optimal Expected Size.”
Changing gears, R. Heller, P. Rosenbaum, and D. Small weigh in with “Split Samples and Design Sensitivity in Observational studies” and Y. Ait-Sahalia, J. Fan, and H. Peng contribute “Nonparametric Transition-Based Tests for Jump-Diffusions.” Quantile regression is featured in “Locally Weighted Censored Quantile Regression,” by H. J. Wang and L. Wang, and in “Quantile Regression with Measurement Error,” by Y. Wei and R. J. Carroll. Y. Cheng and C. M. Crainiceanu study “Cox Models with Smooth Functional Effect of Covariates Measured with Error,” and Q. Xu, M. Paik, X. Luo, and W. Tsai present “Reweighting Estimators for Cox Regression with Missing Covariates.” Completing the issue are articles about cure models, length-biased data, generalized multiparameter likelihoods, and regression models for positive definite matrices.
Reviews
There are no review papers in this issue, but we encourage more people to submit them. A good review paper is a great contribution to the field and tends to be highly cited.
JASA Book Reviews
Adaptive Design Theory and Implementation Using SAS and R—Mark Chang
Bayesian Econometric Methods—Gary M. Koop, Dale J. Poirier, and Justin L. Tobias
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis—Uffe B. Kjaerulff and Anders L. Madsen
Control Techniques for Complex Networks—Sean Meyn
Data Analysis Using Regression and Multilevel/Hierarchical Models—Andrew Gelman and Jennifer Hill
Elections and Exit Polling—Fritz J. Scheuren and Wendy Alvey (eds.)
Elements of Distribution Theory—Thomas A. Severini
Encyclopedia of Quantitative Risk Analysis and Assessment—Edward L. Melnick and Brian S. Everitt (eds.)
Financial Surveillance—Marianne Frisén (ed.)
A First Course in Statistics for Signal Analysis—Wojbor A. Woyczynski
Fundamentals of Quality Control and Improvement (3rd ed.)—Amitava Mitra
Generalized Linear Models for Insurance Data—Piet de Jong and Gillian Z. Heller
A Guide to Complex Variables—Steven G. Krantz
Handbook of Statistics in Clinical Oncology (2nd ed.)—John Crowley and Donna Pauler Ankerst (eds.)
Handbook of Statistics, Volume 26: Psychometrics—C. R. Rao and Sandip Sinharay (eds.)
Indirect Sampling—Pierre Lavallée
Information Criteria and Statistical Modeling—Sadanori Konishi and Genshiro Kitagawa
Intermediate Probability: A Computational Approach—Marc S. Paolella
A Matrix Handbook for Statisticians—George A. F. Seber
The Minimum Description Length Principle—Peter D. Grünwald
Parameter Estimation for Scientists and Engineers—Adriaan van den Bos
Saddlepoint Approximations with Applications—Ronald W. Butler
Solved Problems in Geostatistics—Oy Leuangthong, K. Daniel Khan, and Clayton V. Deutsch
Statistical Decision Theory: Estimation, Testing, and Selection—Friedrich Liese and Klaus-J. Miescke
Statistical Meta-Analysis with Applications—Joachim Hartung, Guido Knapp, and Bimal K. Sinha
Statistical Models and Methods for Financial Markets—Tze Leung Lai and Haipeng Xing
Stochastic Orders—Moshe Shaked and J. George Shanthikumar
Applied Nonparametric Statistical Methods (4th ed.)—Peter Sprent and Nigel C. Smeeton
Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking—Harry L. Van Trees and Kristine L. Bell (eds.)
Loss Models: From Data to Decisions (3rd ed.)—Stuart A. Klugman, Harry H. Panjer, and Gordon E. Willmot
Resampling Methods: A Practical Guide to Data Analysis (3rd ed.)—Phillip I. Good
Statistical Issues in Drug Development (2nd ed.)—Stephen Senn
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