JASA Highlights
March Issue Gives Nod to ‘Student’
David L. Banks, Walter W. Piegorsch, Stephen L. Portnoy, and Dalene K. Stangl
O
ne hundred years ago this month, of tools —from mixtures to spatiotemporal Elements of Information Theory (2nd ed.),
in March 1908, the field of statis- models to Bayesian cluster analysis. Thomas M. Cover and Joy A. Thomas
tics took an exciting and monu-
Gaussian Processes for Machine Learning, Carl
mental leap forward. William Sealy Gossett,
Theory and Methods
Edward Rasmussen and Christopher K. I.
writing under the pseudonym “Student,” The Theory and Methods section leads
Williams
published “The Probable Error of a Mean.” with an article by Aurore Delaigle and
This article introduced technical and empir- Peter Hall, “Using SIMEX for Smoothing-
A Course on Queueing Models, Joti Lal Jain,
ical arguments for a new form of statistical Parameter Choice in Errors-in-Variables
Sri Gopal Mohanty, and Walter Bohm
analysis that would eventually be known to Problems.” The authors treat applying non-
Stochastic Switching Systems: Analysis and
experimenters, scientists, and future ‘stu- parametric methods to errors-in-variable
Design, El-Kébir Boukas
dents’ worldwide as the famous (and per- regression and show how use of SIMulation
haps, to some of those future students, infa- (or remeasurement) and EXtrapolation
Statistical Monitoring of Clinical Trials: A
mous) t-distribution. (SIMEX) steps can enhance the choice of
Unified Approach, Michael A. Proschan,
In the March 2008 issue of JASA, we smoothing parameters with a deconvolu-
K. K. Gordon Lan, and Janet Turk Wittes
celebrate this centennial with an article by tion kernel estimator. Intriguing theoretical
Adaptive Design Methods in Clinical Trials,
Sandy Zabell, who looks back at Student’s and empirical results are presented to study
Shein-Chung Chow and Mark Chang
effort, its connection to the also famous this intersection of concepts for solving
work of fellow statistical path-breaker R. A. curve estimation problems. The remain-
Pharmacometrics: The Science of Quantitative
Fisher, and the journey the t-distribution der of the section follows with a variety of
Pharmacology, Ene I. Ette and Paul J.
has taken these past 100 years. Invited dis- excellent contributions to other important
Williams (eds.)
cussions by Stephen Stigler, John Aldrich, areas of statistical theory and methodology. Likelihood, Bayesian, and MCMC Methods in
Anthony Edwards, Eugene Seneta, and Quantitative Genetics, Daniel Sorensen and
Persi Diaconis, as well as Erich Lehmann,
Reviews
Daniel Gianola
follow. This panel of leading experts in and
The Reviews section includes a paper by
Bayesian Core: A Practical Approach to
contributors to the history of statistics gives
Feng Liang, Rui Paulo, German Molina,
Computational Bayesian Statistics,
a broad, and at times intriguing, perspec-
Merlise Clyde, and Jim Berger that exam-
Jean-Michel Marin and Christian P. Robert
tive on Student’s work, Student’s legacy,
ines mixtures of g-priors to improve on the
and where statistics as a scientific endeavor
Zellner g-prior widely used in Bayesian vari-
Selected Papers of Frederick Mosteller, Stephen
may journey forward in the next 100 years.
able selection. The authors show that the Fienberg and David Hoaglin (eds.)
We hope JASA readers will enjoy reading
mixture formulation outperforms the origi-
Multivariate and Mixture Distribution Rasch
this wonderful retro/prospective as much
nal while maintaining the computational
Models: Extensions and Applications, Matthias
as we did.
tractability that made the g-prior so popular.
von Davier and Claus H. Carstensen (eds.)
Additionally, JASA is proud to intro-
The paper presents both theoretical proper-
duce Len Stefansky of North Carolina State
ties of the mixture g-priors and examples
Experimental Designs: Exercises and Solutions,
University, who is the editor-elect of the
that compare the mixture formulation with
D. G. Kabe and A. K. Gupta
Theory and Methods section, and Dalene
fixed g-priors, empirical Bayes approaches,
Survival and Event History Analysis, Per
Stangl of Duke University, who is the new
and other default procedures.
Kragh Andersen and Niels Keiding (eds.)
editor of the Reviews section.
Books Reviewed
Survival Analysis: A Practical Approach (2nd
Applications and Case Studies
Essentials of Statistical Inference, G. A. Young
ed.), David Machin, Yin Bun Cheung, and
The Applications and Case Studies section and R. L. Smith
Mahesh K. B. Parmar
leads with a discussion paper by Ciprian 100 Statistical Tests (3rd ed.), Gopal K. Kanji
Modern Experimental Design, Thomas P. Ryan
Crainiceanu, Peter Diggle, and Barry
A Handbook of Statistical Analyses Using
Rowlingson titled “Bivariate Binomial
Measurement Error in Nonlinear Models:
Stata (4th ed.), Sophia Rabe-Hesketh and
Spatial Modeling of Loa loa Prevalence
A Modern Perspective (2nd ed.), Raymond
Brian S. Everitt
in Tropical Africa.” This paper will be the
J. Carroll, David Ruppert, Leonard A.
subject of the JASA Applications and Case
Stefanski, and Ciprian M. Crainiceanu
Advances in Economics and Econometrics:
Studies invited session at the 2008 Joint
Theory and Applications, Ninth World
Statistical Meetings. Other papers address
Linear Mixed Models: A Practical Guide Congress, Vol. II, Richard Blundell, Whitney
the usual wide range of applications, from
Using Statistical Software, Brady T. West, K. Newey, and Torsten Persson (eds.)
airline delay models to estimating diag-
Kathleen B. Welch, and Andrzej T. Galecki
Bayesian Statistical Modelling (2nd ed.),
nostic accuracy to measuring particulate
Sampling Algorithms, Yves Tillé
Peter Congdon n
concentrations, and the usual broad range
28 AMSTAT NEWS MARCH 2008
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