Bootstrap Methods: A Practitioner's Guide (Wiley Series in Probability and Statistics)

Chernick, Michael R.

ISBN 10: 0471349127 / ISBN 13: 9780471349129

Published by Wiley-Interscience, 1999

About this Item

Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.

Seller Inventory # OTV.0471349127.VG

Bibliographic Details

• Title: Bootstrap Methods: A Practitioner's Guide (Wiley Series in Probability and Statistics)
• Publisher: Wiley-Interscience
• Publication Date: 1999
• Language: English
• ISBN 10: 0471349127
• ISBN 13: 9780471349129
• Binding: Hardcover
• Condition: very_good

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.