Statistics in the 21st Century: 1st Edition (Paperback) book cover

Statistics in the 21st Century

1st Edition

Edited by Adrian E. Raftery, Martin A. Tanner, Martin T. Wells

Chapman and Hall/CRC

576 pages | 100 B/W Illus.

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Paperback: 9781584882725
pub: 2001-07-09
eBook (VitalSource) : 9780429186868
pub: 2001-07-09
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Exactly what is the state of the art in statistics as we move forward into the 21st century? What promises, what trends does its future hold? Through the reflections of 70 of the world's leading statistical methodologists, researchers, theorists, and practitioners, Statistics in the 21st Century answers those questions.

Originally published in the Journal of the American Statistical Association, this collection of vignettes examines our statistical past, comments on our present, and speculates on our future. Although the coverage is broad and the topics diverse, it reveals the essential intellectual unity of the field as we see the same themes recurring in different contexts. We see how the development of statistics has been driven by the unprecedented and still growing range of applications, by the explosion in computer technology, and by the new types of data that continue to emerge and advance the discipline.

Organized around major areas of application and leading up to vignettes on theory and methods, Statistics in the 21st Century forms a landmark record of the progress and perceived future of the discipline. No student, researcher, or practitioner of statistics should miss this extraordinary opportunity to view the past, present, and future world of statistics through the eyes of its foremost thinkers.


"This impressive volume is highly recommended for all statisticians as well as anybody who is interested in applying statistics in any science."

- Perceptual and Motor Skills, December 2001

"Even though statistics is used in different disciplines in different contexts, this volume reveals an underlying cohesiveness of the field. With the growth of computer power and storage, researchers are analyzing large and complex data sets, leading to the need for new methods of model selection. Material is presented clearly and informatively. Extensive author and subject indexes. A valuable addition to academic libraries."

--CHOICE Magazine, May 2002

Table of Contents

INTRODUCTION, Adrian E. Raftery, Martin A. Tanner, and Martin T. Wells

STATISTICS IN THE LIFE AND MEDICAL SCIENCES, Guest Editor Norman E. Breslow, University of Washington, USA

Survival Analysis, David Oakes

Causal Analysis in the Health Sciences, Sander Greenland

Environmental Statistics, Peter Guttorp

Capture-Recapture Models, Kenneth H. Pollock

Statistics in Animal Breeding, Daniel Gianola

Some Issues in Assessing Human Fertility, Clarice R. Weinberg and David B. Dunson

Statistical Issues in Toxicology, Louise M. Ryan

Receiver Operating Characteristic Methodology, Margaret Sullivan Pepe

The Randomized Clinical Trial, David P. Harrington

Some Contributions of Statistics to Environmental Epidemiology, Duncan C. Thomas

Challenges Facing Statistical Genetics, B. S. Weir

Computational Molecular Biology, Wing Hung Wong

STATISTICS IN BUSINESS AND SOCIAL SCIENCE, Guest Editor Mark P. Becker, University of Michigan, USA

Finance: A Selective Survey, Andrew W. Lo

Statistics and Marketing, Peter E. Rossi and Greg M. Allenby

Time Series and Forecasting: Brief History and Future Research, Ruey S. Tsay

Contingency Tables and Log-Linear Models: Basic Results and New Developments, Stephen E. Fienberg

Causal Inference in the Social Sciences, Michael E. Sobel

Political Methodology: A Welcoming Discipline, Nathaniel L. Beck

Statistics in Sociology, 1950-2000, Adrian E. Raftery

Psychometrics, Michael W. Browne

Empirical Methods and the Law, Theodore Eisenberg

Demography: Past, Present, and Future, Yu Xie

STATISTICS IN THE PHYSICAL SCIENCES AND ENGINEERING, Guest Editor Diane Lambert, Statistics Research Department, Bell Labs, USA

Challenges in Understanding the Atmosphere, Doug Nychka

Seismology: A Statistical Vignette, David Vere-Jones

Internet Traffic Data, William S. Cleveland and Don X. Sun

Coding and Compression: A Happy Union of Theory and Practice, Jorma Rissanen and Bin Yu

Statistics in Reliability, Jerry Lawless

The State of Statistical Process Control as We Proceed into the 21st Century, Zachary G. Stoumbos, Marion R. Reynolds, Jr., Thomas P. Ryan, and William H. Woodall

Statistics in Preclinical Pharmaceutical Research and Development, Bert Gunter and Dan Holder

Statistics in Advanced Manufacturing, Vijay Nair, Mark Hansen, and Jan Shi

THEORY AND METHODS, Guest Editor George Casella, University of Florida, USA

Bayesian Analysis: A Look at Today and Thoughts of Tomorrow, James O. Berger

An Essay on Statistical Decision Theory, Lawrence D. Brown

Markov Chain Monte Carlo: 10 Years and Still Running, Olivier Cappe and Christian P. Robert

Empirical Bayes: Past, Present and Future, Bradley P. Carlin and Thomas A. Louis

Linear and Log-Linear Models, Ronald Christensen

The Bootstrap and Modern Statistics, Bradley Efron

Prospects of Nonparametric Modeling, Jianquing Fan

Gibbs Sampling, Alan E. Gelfand

The Variable Selection Problem, Edward I. George

Robust Nonparametric Methods, Thomas P. Hettmansperger, Joseph W. McKean, and Simon J. Sheather

Hierarchical Models: A Current Computational Perspective, James P. Hobert

Hypothesis Testing: From p Values to Bayes Factors, John I. Marden

Generalized Linear Models, Charles E. McCulloch

Missing Data: Dial M for ???, Xiao-Li Meng

A Robust Journey in the New Millennium, Stephen Portnoy and Xuming He

Likelihood,Nancy Reid

Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts, James Robins and Larry Wasserman

The End of Time Series, V. Solo

Principal Information Theoretic Approaches, Ehsan S. Soofi

Measurement Error Models, L. A. Stefanski

Higher Order Asymptotic Approximation: Laplace, Saddlepoint, and Related Methods, Robert L. Strawderman

Minimaxity, William E. Strawderman

Afterword, George Casella



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Chapman & Hall/CRC Monographs on Statistics and Applied Probability

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General