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The Jackknife and Bootstrap (Paperback, Softcover reprint of the original 1st ed. 1995) Loot Price: R8,809
Discovery Miles 88 090
The Jackknife and Bootstrap (Paperback, Softcover reprint of the original 1st ed. 1995): Jun Shao, Dongsheng Tu

The Jackknife and Bootstrap (Paperback, Softcover reprint of the original 1st ed. 1995)

Jun Shao, Dongsheng Tu

Series: Springer Series in Statistics

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Loot Price R8,809 Discovery Miles 88 090 | Repayment Terms: R826 pm x 12*

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The jackknife and bootstrap are the most popular data-resampling meth ods used in statistical analysis. 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. Because of the availability of inexpensive and fast computing, these computer-intensive methods have caught on very rapidly in recent years and are particularly appreciated by applied statisticians. The primary aims of this book are (1) to provide a systematic introduction to the theory of the jackknife, the bootstrap, and other resampling methods developed in the last twenty years; (2) to provide a guide for applied statisticians: practitioners often use (or misuse) the resampling methods in situations where no theoretical confirmation has been made; and (3) to stimulate the use of the jackknife and bootstrap and further devel opments of the resampling methods. The theoretical properties of the jackknife and bootstrap methods are studied in this book in an asymptotic framework. Theorems are illustrated by examples. Finite sample properties of the jackknife and bootstrap are mostly investigated by examples and/or empirical simulation studies. In addition to the theory for the jackknife and bootstrap methods in problems with independent and identically distributed (Li.d.) data, we try to cover, as much as we can, the applications of the jackknife and bootstrap in various complicated non-Li.d. data problems.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Springer Series in Statistics
Release date: March 2013
First published: 1995
Authors: Jun Shao • Dongsheng Tu
Dimensions: 235 x 155 x 27mm (L x W x T)
Format: Paperback
Pages: 517
Edition: Softcover reprint of the original 1st ed. 1995
ISBN-13: 978-1-4612-6903-8
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 1-4612-6903-2
Barcode: 9781461269038

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