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dc.contributor.authorBecker, Claudiade
dc.contributor.authorGather, Ursulade
dc.date.accessioned2004-12-06T18:38:29Z-
dc.date.available2004-12-06T18:38:29Z-
dc.date.issued1998de
dc.identifier.urihttp://hdl.handle.net/2003/4850-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-16151-
dc.description.abstractIn their paper, Davies and Gather (1993) formalized the task of outlier identification, considering also certain performance criteria for outlier identifiers. One of those criteria, the maximum asymptotic bias, is carried over here to multivariate outlier identifiers. We show how this term depends on the respective biases of estimators which are used to construct the identifier. It turns out that the use of high-breakdown robust estimators is not sufficient toachieve outlier identifiers with bounded maximum asymptotic bias.en
dc.format.extent117160 bytes-
dc.format.extent172829 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectconsistencyen
dc.subjectoutlier identificationen
dc.subjectrobust statisticsen
dc.subject.ddc310de
dc.titleThe Maximum Asymptotic Bias of Outlier Identifiersen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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