Jackknife and Bootstrap

Name: Jackknife and Bootstrap
Price: 57.01 USD
Availability: InStock
ISBN: 9780387945156

ISBN-10: 0387945156

ISBN-13: 9780387945156

Edition: 1995

Authors: Jun Shao, Dongsheng Tu, K. Krickeberg, S. Fienberg, N. Wermuth

List price: $379.99

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Description:

The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysis. This book provides a systematic introduction to the theory of the jackknife, bootstrap and other resampling methods that have been developed in the last twenty years. It aims to provide a guide to using these methods which will enable applied statisticians to feel comfortable in applying them to data in their own research. The authors have included examples of applying these methods in various applications in both the independent and identically distributed (iid) case and in more complicated cases with non-iid data sets. Readers are assumed to have a reasonable knowledge of mathematical…

Book details

List price: $379.99
Copyright year: 1995
Publisher: Springer New York
Publication date: 9/12/1996
Binding: Hardcover
Pages: 517
Size: 6.10" wide x 9.25" long x 0.52" tall
Weight: 4.510
Language: English



Preface



Introduction



Theory for the Jackknife



Theory for the Bootstrap



Bootstrap Confidence Sets and Hypothesis Tests



Computational Methods



Applications to Sample Surveys



Applications to Linear Models



Applications to Nonlinear, Nonparametric, and Multivariate Models



Applications to Time Series and Other Dependent Data



Bayesian Bootstrap and Random Weighting


Appendix A. Asymptotic Results


Appendix B. Notation


References


Author Index


Subject Index