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dc.contributor.authorBecker, Claudiade
dc.contributor.authorGather, Ursulade
dc.date.accessioned2004-12-06T18:38:24Z-
dc.date.available2004-12-06T18:38:24Z-
dc.date.issued1997de
dc.identifier.urihttp://hdl.handle.net/2003/4844-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15061-
dc.description.abstractIn 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.extent130406 bytes-
dc.format.extent189442 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectmaskingen
dc.subjectoutlier identificationen
dc.subjectreakdown pointsen
dc.subjectrobust statisticsen
dc.subject.ddc310de
dc.titleThe Masking Breakdown Point of Multivariate Outlier Identification Rulesen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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