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December, 1984 Estimating an Endpoint of a Distribution with Resampling Methods
Wei-Yin Loh
Ann. Statist. 12(4): 1543-1550 (December, 1984). DOI: 10.1214/aos/1176346811

Abstract

The problem of estimating an endpoint of a distribution is revisited, using the bootstrap and random subsample methods. Contrary to an example in Bickel and Freedman (1981) suggesting that these methods do not work here, it is shown that one can in fact construct asymptotically valid confidence intervals in some situations.

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Wei-Yin Loh. "Estimating an Endpoint of a Distribution with Resampling Methods." Ann. Statist. 12 (4) 1543 - 1550, December, 1984. https://doi.org/10.1214/aos/1176346811

Information

Published: December, 1984
First available in Project Euclid: 12 April 2007

zbMATH: 0554.62037
MathSciNet: MR760707
Digital Object Identifier: 10.1214/aos/1176346811

Subjects:
Primary: 62G05
Secondary: 62G15

Rights: Copyright © 1984 Institute of Mathematical Statistics

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Vol.12 • No. 4 • December, 1984
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