Model.” Additional insights and extensions of the
JASA Book Reviews
work appear in four discussions by J. Fan and
Y. Feng, S. Schennach, J. Staudenmayer, and
J. Sun and X. Wang.
Adaptive Design Theory and Implementation Using SAS and R—
Moving from the subtleties of measurement
Mark Chang
error to the realities of large-scale inferences, Brad
Bayesian Econometric Methods—Gary M. Koop, Dale J. Poirier, and Efron writes “Empirical Bayes Estimates for Large-
Justin L. Tobias
Scale Prediction Problems.” Bayesian contributions
Bayesian Networks and Influence Diagrams: A Guide to Construction and include “The Multiset Sampler,” by S. C. Leman,
Analysis—Uffe B. Kjaerulff and Anders L. Madsen
Y. Chen, and M. Lavine, and “Nonparametric Bayes
Control Techniques for Complex Networks—sean Meyn Modeling of Multivariate Categorical Data,” by
Data Analysis Using Regression and Multilevel/Hierarchical Models—
D. B. Dunson and C. Xing.
Andrew Gelman and Jennifer Hill
Following the Bayesian contributions, Dan
Elections and Exit Polling—Fritz J. Scheuren and Wendy Alvey (eds.)
Nettleton addresses cell supremacy in “Testing for the
Supremacy of a Multinomial Cell Probability”; M.
Elements of Distribution Theory—Thomas A. Severini
Lu, Y. Zhang, and J. Huang write “Semiparametric
Encyclopedia of Quantitative Risk Analysis and Assessment—
Estimation Methods for Panel Count
Edward L. Melnick and Brian S. Everitt (eds.)
Data Using Monotone B-Splines”; D. Chafa and
Financial Surveillance—Marianne Frisén (ed.)
D. Concordet construct “Confidence Regions
A First Course in Statistics for Signal Analysis—Wojbor A. Woyczynski for the Multinomial Parameter with Small Sample
Fundamentals of Quality Control and Improvement (3rd ed.)—
Size”; and C. M. Schafer and P. B. Stark present
Amitava Mitra
“Constructing Confidence Regions of Optimal
Generalized Linear Models for Insurance Data—Piet de Jong and
Expected Size.”
Gillian Z. Heller
Changing gears, R. Heller, P. Rosenbaum,
A Guide to Complex Variables—Steven G. Krantz
and D. Small weigh in with “split samples and
Design Sensitivity in Observational studies” and
Handbook of Statistics in Clinical Oncology (2nd ed.)—John Crowley and
Y. Ait-Sahalia, J. Fan, and H. Peng contribute
Donna Pauler Ankerst (eds.)
“Nonparametric Transition-Based Tests for Jump-
Handbook of Statistics, Volume 26: Psychometrics—C. R. Rao and
Diffusions.” Quantile regression is featured in
Sandip Sinharay (eds.)
“Locally Weighted Censored Quantile Regression,”
Indirect Sampling—Pierre Lavallée
by H. J. Wang and L. Wang, and in “Quantile
Information Criteria and Statistical Modeling—sadanori Konishi and
Regression with Measurement Error,” by Y. Wei and
Genshiro Kitagawa
R. J. Carroll. Y. Cheng and C. M. Crainiceanu
Intermediate Probability: A Computational Approach—Marc S. Paolella study “Cox Models with Smooth Functional Effect
A Matrix Handbook for Statisticians—George A. F. Seber
of Covariates Measured with Error,” and Q. Xu, M.
The Minimum Description Length Principle
Paik, X. Luo, and W. Tsai present “Reweighting
—Peter D. Grünwald
Estimators for Cox Regression with Missing
Parameter Estimation for Scientists and Engineers—Adriaan van den Bos
Covariates.” Completing the issue are articles about
Saddlepoint Approximations with Applications—Ronald W. Butler
cure models, length-biased data, generalized mul-
Solved Problems in Geostatistics—Oy Leuangthong, K. Daniel Khan, and tiparameter likelihoods, and regression models for
Clayton V. Deutsch
positive definite matrices.
Statistical Decision Theory: Estimation, Testing, and Selection—
Friedrich Liese and Klaus-J. Miescke Reviews
Statistical Meta-Analysis with Applications—Joachim Hartung,
There are no review papers in this issue, but we
Guido Knapp, and Bimal K. Sinha encourage more people to submit them. A good
Statistical Models and Methods for Financial Markets—Tze Leung Lai and
review paper is a great contribution to the field and
Haipeng Xing tends to be highly cited. n
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/
Unique Statistics Program
Tracking—Harry L. Van Trees and Kristine L. Bell (eds.)
Does your college or university have a unique
Loss Models: From Data to Decisions (3rd ed.)—Stuart A. Klugman,
statistics program or course? Highlight its cur-
Harry H. Panjer, and Gordon E. Willmot
riculum in an upcoming issue of Amstat News.
Resampling Methods: A Practical Guide to Data Analysis (3rd ed.)—
Phillip I. Good
send a written overview by email to Amstat
News Managing Editor Megan Murphy at
Statistical Issues in Drug Development (2nd ed.)—stephen senn
megan@amstat.org.
22 AMsTAT NEWs OCTObER 2009
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