Jackknife and Bootstrap

Name: Jackknife and Bootstrap
Brand: Springer-Verlag New York Inc.
SKU: 9780387945156
Price: 1657.88 RON
Availability: InStock

Autor: Jun Shao, Dongsheng Tu

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Legare: Copertă tare

Editura: Springer-Verlag New York Inc.

Disponibilitate: În depozitul extern

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The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysi...

Informații despre carte

Autor

Jun Shao, Dongsheng Tu

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1996

Pagini

517

EAN

9780387945156

ISBN

0387945156

Enbook ID

01384066

Editura

Springer-Verlag New York Inc.

Greutate

938

Dimensiuni

159 x 241 x 33

Descriere completă

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.

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