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The Jack-knife, the Bootstrap and Other Resampling Plans

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The Jack-knife, the Bootstrap and Other Resampling Plans - Efron, Bradley, and Rozier, Ron (Series edited by)
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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 ...

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The Jack-knife, the Bootstrap and Other Resampling Plans 1982, Society for Industrial & Applied Mathematics,U.S., New York

ISBN-13: 9780898711790

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