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The Jack-knife, the Bootstrap and Other Resampling Plans
Bradley Efron
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Description for The Jack-knife, the Bootstrap and Other Resampling Plans
Paperback.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
1987
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
100
Condition
New
Number of Pages
100
Place of Publication
New York, United States
ISBN
9780898711790
SKU
V9780898711790
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
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