The Masking Breakdown Point of Multivariate Outlier Identification Rules

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DC Field	Value	Language
dc.contributor.author	Becker, Claudia	de
dc.contributor.author	Gather, Ursula	de
dc.date.accessioned	2004-12-06T18:38:24Z	-
dc.date.available	2004-12-06T18:38:24Z	-
dc.date.issued	1997	de
dc.identifier.uri	http://hdl.handle.net/2003/4844	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15061	-
dc.description.abstract	In this paper, we consider one-step outlier identifiation rules for multivariate data, generalizing the concept of so-called alpha outlier identifiers, as presented in Davies and Gather (1993) for the case of univariate samples. We investigate, how the finite-sample breakdown points of estimators used in these identification rules influence the masking behaviour of the rules.	en
dc.format.extent	130406 bytes	-
dc.format.extent	189442 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	masking	en
dc.subject	outlier identification	en
dc.subject	reakdown points	en
dc.subject	robust statistics	en
dc.subject.ddc	310	de
dc.title	The Masking Breakdown Point of Multivariate Outlier Identification Rules	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 475

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