xiii 264 pages. The book appears unread. Wiley Series in Probability and Statistics. "A practical and accessible introduction to the bootstrap method. Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields." (Publisher) First edition.

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Bibliographic Details

Title

Bootstrap Methods : A Practioner's Guide

Publisher

John Wiley and Sons, New York

Publication Date

1999

Language

English

ISBN 10

0471349127

ISBN 13

9780471349129

Binding

Pictorial Boards

Condition

Fine

Seller catalogs

Environmental Science

About this title

Synopsis

A comprehensive, practical treatment for professionals In less than two decades, the bootstrap has grown from an obscure object of theoretical study to a widely used resampling method with broad applications in numerous real-world situations. Bootstrap Methods: A Practitioner's Guide provides an introduction to the bootstrap for readers who have professional interest in these methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap's considerable advantages as well as its drawbacks. This book updates classic texts in the field by presenting results on improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems. To alert readers to the limitations of the method, it exhibits counterexamples to the consistency of bootstrap methods. This book also makes connections between more traditional resampling methods and bootstrap. Outstanding special features of Bootstrap Methods include:
* The most extensive and detailed bootstrap bibliography available, including more than 1,600 references
* Discussions enlivened with stimulating topics such as data mining
* Historical notes at the end of each chapter
* Examples and explanations of when and why bootstrap is not effective
Bootstrap Methods is a serious, useful, and unparalleled practical guide for professionals in engineering, the sciences, clinical medicine, and applied statistics.

About the Author

MICHAEL R. CHERNICK, PhD, is Senior Biostatistician at Biosense Webster, a Johnson & Johnson company.

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