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Jackknife and Bootstrap

Language EnglishEnglish
Book Hardback
Book Jackknife and Bootstrap Jun Shao
Libristo code: 01384066
Publishers Springer-Verlag New York Inc., September 1996
The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysi... Full description
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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.

About the book

Full name Jackknife and Bootstrap
Language English
Binding Book - Hardback
Date of issue 1996
Number of pages 517
EAN 9780387945156
ISBN 0387945156
Libristo code 01384066
Weight 938
Dimensions 159 x 241 x 33
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