Discussion of The Forward Search: Theory and Data Analysis by Anthony C. Atkinson, Marco Riani, and Andrea Ceroli

The Forward Search Algorithm is a statistical algorithm for obtaining robust estimators of regression coefficients in the presence of outliers. The algorithm selects a succession of subsets of observations from which the parameters are estimated. The present note shows how the theory of empirical processes can contribute to the understanding of how the subsets are chosen and how the sequence of estimators is changing.

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Year of publication:	2010-02
Authors:	Johansen, Søren ; Nielsen, Bent
Institutions:	Økonomisk Institut, Københavns Universitet
Subject:	empirical processes \| Huber's skip \| least trimmed squares estimator \| one-step estimator \| outlier robustness

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Extent:	application/pdf
Series:	Discussion Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 10-06 13 pages
Classification:	C2 - Econometric Methods: Single Equation Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10008631590