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Resampling methods : a practical guide to data analysis / Phillip I. Good.

By: Good, Phillip I.
Material type: TextTextPublisher: Boston : Birkhäuser, c2006Edition: 3rd ed.Description: xvi, 218 p. : ill. ; 24 cm.ISBN: 0817643869 (acidfree paper); 9780817643867.Subject(s): Resampling (Statistics)DDC classification: 519.54 Online resources: Publisher description | WorldCat details | Ebook Fulltext
Contents:
Table of contents 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
Summary: A practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.
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Non-fiction 519.54 GOR 2006 (Browse shelf) Not for loan
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Includes bibliographical references (p. [195]-207) and indexes.

Table of contents 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

A practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.

Applied Statistics

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