Statistics in the 21st Century
Adrian E. Raftery, Martin A. Tanner, Martin T. Wells
554 pages, parution le 01/09/2001
Résumé
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.
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
- 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
- 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
- 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
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Chapman and Hall / CRC |
| Auteur(s) | Adrian E. Raftery, Martin A. Tanner, Martin T. Wells |
| Parution | 01/09/2001 |
| Nb. de pages | 554 |
| Format | 15,2 x 22,8 |
| Couverture | Broché |
| Poids | 788g |
| Intérieur | Noir et Blanc |
| EAN13 | 9781584882725 |
| ISBN13 | 978-1-58488-272-5 |
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