Resampling methods : a practical guide to data analysis
著者
書誌事項
Resampling methods : a practical guide to data analysis
Birkhäuser, c2006
3rd ed
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注記
Includes bibliographical references (p. [195]-207) and indexes
内容説明・目次
内容説明
This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.
New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata, or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.
目次
Preface to the Third Edition
Preface to the Second Edition
Preface to the First Edition
Which Chapter Should I Read?
Software for Resampling
Estimating Population Parameters
Comparing Two Populations
Choosing the Best Procedure
Experimental Design and Analysis
Categorical Data
Multiple Variables and Multiple Hypotheses
Model Building
Decision Trees
Answers to Selected Exercises
Bibliography
Glossary
Author Index
Subject Index
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