The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 38)
Efron, Bradley
ISBN 10: 0898711797 ISBN 13: 9780898711790
Published by Society for Industrial and Appli, 1987
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sixth printing Good paperback, bumped/creased with shelfwear; may have previous owner's name inside. Standard-sized. Seller Inventory # mon0000292327
Synopsis:
The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made. This monograph connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and balanced repeated replications into a unified exposition. The theoretical development is at an easy mathematical level and is supplemented by a large number of numerical examples. The methods described in this monograph form a useful set of tools for the applied statistician. They are particularly useful in problem areas where complicated data structures are common, for example, in censoring, missing data, and highly multivariate situations.
Product Description: This monograph connects the jackknife, the bootstrap, and many other related ideas into a unified exposition.
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Bibliographic Details
Title: The Jackknife, the Bootstrap, and Other ...
Publisher: Society for Industrial and Appli
Publication Date: 1987
Binding: paperback
Condition: Good