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

Book 178 of 358: Wiley Series in Probability and Statistics

Chernick, Michael R.

 
9780471349129: Bootstrap Methods: A Practitioner's Guide (Wiley Series in Probability and Statistics)
Hardcover
ISBN 10: 0471349127 ISBN 13: 9780471349129
Publisher: Wiley-Interscience, 1999

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.

"synopsis" may belong to another edition of this title.

About the Author

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

From the Back Cover

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 this title" may belong to another edition of this title.

Publisher
Wiley-Interscience
Publication date
1999
Language
English
ISBN 10 
0471349127
ISBN 13 
9780471349129
Binding
Hardcover
Edition number
1
Number of pages
288