Ditemukan 2 dokumen yang sesuai dengan query
Efron, Bradley
Cambridge : Cambridge University Press, 2017
519.4 EFR c
Buku Teks Universitas Indonesia Library
Efron, Bradley
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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 exposition. The theoretical development ...
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Philadelphia: Society for Industrial and Applied Mathematics, 1994
e20443362
eBooks Universitas Indonesia Library