Fast and robust bootstrap

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Fast and robust bootstrap

TitleFast and robust bootstrap
Publication TypeJournal Article
Year of Publication2008
AuthorsSalibian-Barrera, M, Van Aelst, S, Willerns, G
JournalSTATISTICAL METHODS AND APPLICATIONS
Volume17
Pagination41-71
Type of ArticleArticle
ISSN1618-2510
Keywordsbootstrap, PCA discriminant analysis, Robust inference, Robust regression
Abstract

In this paper we review recent developments on a bootstrap method for robust estimators which is computationally faster and more resistant to outliers than the classical bootstrap. This fast and robust bootstrap method is, under reasonable regularity conditions, asymptotically consistent. We describe the method in general and then consider its application to perform inference based on robust estimators for the linear regression and multivariate location-scatter models. In particular, we study confidence and prediction intervals and tests of hypotheses for linear regression models, inference for location-scatter parameters and principal components, and classification error estimation for discriminant analysis.
DOI10.1007/s10260-007-0048-6
Software

https://github.com/msalibian/FRB