Jackknife and Bootstrap

Name: Jackknife and Bootstrap
Brand: Springer-Verlag New York Inc.
SKU: 9780387945156
Price: 7293 CZK
Availability: InStock

Autor: Jun Shao, Dongsheng Tu

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

Odesíláme za 10-18 dnů

7 293 Kč

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

Informace o knize

Autor

Jun Shao, Dongsheng Tu

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

1996

Stránek

517

EAN

9780387945156

ISBN

0387945156

Enbook ID

01384066

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

938

Rozměry

159 x 241 x 33

Kompletní popis

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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Jackknife and Bootstrap

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