An isobar-surfaces approach to multidimensional outlier-proneness.

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DC Field	Value	Language
dc.contributor.author	Barme-Delcroix, Marie-Francoise	de
dc.contributor.author	Gather, Ursula	de
dc.date.accessioned	2004-12-06T18:42:18Z	-
dc.date.available	2004-12-06T18:42:18Z	-
dc.date.issued	2000	de
dc.identifier.uri	http://hdl.handle.net/2003/5025	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15036	-
dc.description.abstract	The aim of this paper is to define and investigate outlier-proneness for multivariate distributions. This is done by using a concept of ordering multivariate data based on isobarsurfaces, which yields an utmost analogy of the results to the univariate case.	en
dc.format.extent	237262 bytes	-
dc.format.extent	557644 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	extreme values	en
dc.subject	isobars	en
dc.subject	order statistics	en
dc.subject	outlier-proneness	en
dc.subject	outliers	en
dc.subject	weak stability	en
dc.subject.ddc	310	de
dc.title	An isobar-surfaces approach to multidimensional outlier-proneness.	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 475

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