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Book synopsis

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 statistics and so this will be made suitable reading for graduate students, researchers and practitioners seeking a wide-ranging survey of this important area of statistical theory and application.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Jackknife and Bootstrap
• Author: Jun Shao, Dongsheng Tu
• Language: English
• Binding: Hardback
• Number of pages: 517
• EAN: 9780387945156
• ISBN: 0387945156
• ID: 01384066
• Publisher: Springer-Verlag New York Inc.
• Weight: 938 g
• Dimensions: 241 × 159 × 33 mm
• Date of publishing: 12. September 1996

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