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Biased bootstrap methods for reducing the effects of contamination

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Date

1999

Authors

Hall, Peter
Presnell, B

Journal Title

Journal ISSN

Volume Title

Publisher

Aiden Press

Abstract

Contamination of a sampled distribution, for example by a heavy-tailed distribution, can degrade the performance of a statistical estimator. We suggest a general approach to alleviating this problem, using a version of the weighted bootstrap. The idea is

Description

Keywords

Keywords: Biased bootstrap; Empirical likelihood; Influence; Inlier; Local linear smoothing; Multivariate analysis; Nonparametric curve estimation; Outlier; Regression; Robust statistical methods; Trimming; Weighted bootstrap

Citation

URI

http://hdl.handle.net/1885/91460

Collections

ANU Research Publications

Source

Journal of the Royal Statistical Society Series B

Type

Journal article

Book Title

Entity type

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Restricted until

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