Statistics in the 21st Century 1st Edition by Adrian E. Raftery, Martin A. Tanner, Martin T. Wells – Ebook PDF Instant Download/Delivery: 9781584882725, 1584882725
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Product details:
ISBN 10: 1584882725
ISBN 13: 9781584882725
Author: Adrian E. Raftery, Martin A. Tanner, Martin T. Wells
This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics.
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)
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Survival Analysis – David Oakes
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Causal Analysis in the Health Sciences – Sander Greenland
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Environmental Statistics – Peter Guttorp
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Capture-Recapture Models – Kenneth H. Pollock
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Statistics in Animal Breeding – Daniel Gianola
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Some Issues in Assessing Human Fertility – Clarice R. Weinberg and David B. Dunson
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Statistical Issues in Toxicology – Louise M. Ryan
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Receiver Operating Characteristic Methodology – Margaret Sullivan Pepe
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The Randomized Clinical Trial – David P. Harrington
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Some Contributions of Statistics to Environmental Epidemiology – Duncan C. Thomas
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Challenges Facing Statistical Genetics – B. S. Weir
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Computational Molecular Biology – Wing Hung Wong
Statistics in Business and Social Science
Guest Editor: Mark P. Becker (University of Michigan, USA)
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Finance: A Selective Survey – Andrew W. Lo
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Statistics and Marketing – Peter E. Rossi and Greg M. Allenby
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Time Series and Forecasting: Brief History and Future Research – Ruey S. Tsay
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Contingency Tables and Log-Linear Models: Basic Results and New Developments – Stephen E. Fienberg
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Causal Inference in the Social Sciences – Michael E. Sobel
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Political Methodology: A Welcoming Discipline – Nathaniel L. Beck
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Statistics in Sociology, 1950–2000 – Adrian E. Raftery
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Psychometrics – Michael W. Browne
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Empirical Methods and the Law – Theodore Eisenberg
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Demography: Past, Present, and Future – Yu Xie
Statistics in the Physical Sciences and Engineering
Guest Editor: Diane Lambert (Bell Labs, USA)
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Challenges in Understanding the Atmosphere – Doug Nychka
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Seismology: A Statistical Vignette – David Vere-Jones
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Internet Traffic Data – William S. Cleveland and Don X. Sun
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Coding and Compression: A Happy Union of Theory and Practice – Jorma Rissanen and Bin Yu
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Statistics in Reliability – Jerry Lawless
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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
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Statistics in Preclinical Pharmaceutical Research and Development – Bert Gunter and Dan Holder
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Statistics in Advanced Manufacturing – Vijay Nair, Mark Hansen, and Jan Shi
Theory and Methods
Guest Editor: George Casella (University of Florida, USA)
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Bayesian Analysis: A Look at Today and Thoughts of Tomorrow – James O. Berger
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An Essay on Statistical Decision Theory – Lawrence D. Brown
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Markov Chain Monte Carlo: 10 Years and Still Running – Olivier Cappe and Christian P. Robert
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Empirical Bayes: Past, Present and Future – Bradley P. Carlin and Thomas A. Louis
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Linear and Log-Linear Models – Ronald Christensen
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The Bootstrap and Modern Statistics – Bradley Efron
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Prospects of Nonparametric Modeling – Jianqing Fan
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Gibbs Sampling – Alan E. Gelfand
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The Variable Selection Problem – Edward I. George
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Robust Nonparametric Methods – Thomas P. Hettmansperger, Joseph W. McKean, and Simon J. Sheather
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Hierarchical Models: A Current Computational Perspective – James P. Hobert
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Hypothesis Testing: From p Values to Bayes Factors – John I. Marden
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Generalized Linear Models – Charles E. McCulloch
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Missing Data: Dial M for ??? – Xiao-Li Meng
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A Robust Journey in the New Millennium – Stephen Portnoy and Xuming He
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Likelihood – Nancy Reid
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Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts – James Robins and Larry Wasserman
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The End of Time Series – V. Solo
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Principal Information Theoretic Approaches – Ehsan S. Soofi
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Measurement Error Models – L. A. Stefanski
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Higher Order Asymptotic Approximation: Laplace, Saddlepoint, and Related Methods – Robert L. Strawderman
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Minimaxity – William E. Strawderman
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