Randomization, Bootstrap and Monte Carlo Methods in Biology, Manly, Bryan F.J. , Navarro Alberto, Jorge A.

Автор: Efron
Название: An Introduction to the Bootstrap
ISBN: 0412042312 ISBN-13(EAN): 9780412042317
Издательство: Taylor&Francis
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Описание: An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.

Автор: Chernick
Название: Bootstrap Methods - A Guide for Practitioners and Researchers 2e
ISBN: 0471756210 ISBN-13(EAN): 9780471756217
Издательство: Wiley
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Описание: This book provides an introduction to the bootstrap for readers who have professional interest in its methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap`s considerable advantages as well as its drawbacks.

Автор: Jun Shao; Dongsheng Tu
Название: The Jackknife and Bootstrap
ISBN: 1461269032 ISBN-13(EAN): 9781461269038
Издательство: Springer
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Описание: The resampling methods replace theoreti- cal derivations required in applying traditional methods (such as substitu- tion and linearization) in statistical analysis by repeatedly resampling the original data and making inferences from the resamples.

Автор: Philippe Barbe; Patrice Bertail
Название: The Weighted Bootstrap
ISBN: 0387944788 ISBN-13(EAN): 9780387944784
Издательство: Springer
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Описание: This monograph provides an account of the asymptotic behaviour of the weighted bootstrap - a new statistical technique. Proofs are presented in detail, and a comparison is made of the various weighted schemes. Readers are assumed to have some familiarity with the concept of bootstraps.

Автор: Peter Hall
Название: The Bootstrap and Edgeworth Expansion
ISBN: 0387977201 ISBN-13(EAN): 9780387977201
Издательство: Springer
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Описание: Secondly, it gives an account of Edgeworth expansion. The first two chapters deal with the bootstrap and Edgeworth expansion respectively, while chapters 3 and 4 bring these two themes together, using Edgeworth expansion to explore and develop the properties of the bootstrap.