The Jackknife, the Bootstrap and Other Resampling Plans, Bradley Efron

Автор: Jun Shao; Dongsheng Tu
Название: The Jackknife and Bootstrap
ISBN: 1461269032 ISBN-13(EAN): 9781461269038
Издательство: Springer
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Цена: 307450.00 T
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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: Good Phillip I
Название: Introduction to Statistics Through Resampling Methods and R
ISBN: 1118428218 ISBN-13(EAN): 9781118428214
Издательство: Wiley
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Цена: 59080.00 T
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Описание: A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see... it would make a good nightstand book for every statistician.

Автор: Good
Название: Introduction to Statistics Through Resampling Methods and Microsoft Office Excel
ISBN: 0471731919 ISBN-13(EAN): 9780471731917
Издательство: Wiley
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Цена: 106600.00 T
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Описание: Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote.

Автор: S. N. Lahiri
Название: Resampling Methods for Dependent Data
ISBN: 1441918485 ISBN-13(EAN): 9781441918482
Издательство: Springer
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Цена: 153720.00 T
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Описание: By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical examples throughout.

Автор: Bruce
Название: Introductory Statistics and Analytics - A Resampling Perspective
ISBN: 1118881354 ISBN-13(EAN): 9781118881354
Издательство: Wiley
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Цена: 67530.00 T
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Описание: "Peter [Bruce] has provided relevant, newsworthy and interesting examples, and, he has the reader doing all sorts of experiments ... for getting the feel of the statistical process. I believe the topics cover the waterfront of what a primer should consist of. " From a User at Statistics.

Автор: Bose
Название: U-Statistics, Mm-Estimators and Resampling
ISBN: 9811322473 ISBN-13(EAN): 9789811322471
Издательство: Springer
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Цена: 55890.00 T
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Описание: This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.

Автор: Philippe Barbe; Patrice Bertail
Название: The Weighted Bootstrap
ISBN: 0387944788 ISBN-13(EAN): 9780387944784
Издательство: Springer
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Цена: 111790.00 T
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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: Chernick
Название: Bootstrap Methods - A Guide for Practitioners and Researchers 2e
ISBN: 0471756210 ISBN-13(EAN): 9780471756217
Издательство: Wiley
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Цена: 146730.00 T
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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: Peter Hall
Название: The Bootstrap and Edgeworth Expansion
ISBN: 0387977201 ISBN-13(EAN): 9780387977201
Издательство: Springer
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Цена: 97820.00 T
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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.