Convergence Rates in Multivariate Robust Outlier Identification

dc.contributor.authorBecker, Claudiade
dc.contributor.authorGather, Ursulade
dc.date.accessioned2004-12-06T18:38:25Z
dc.date.available2004-12-06T18:38:25Z
dc.date.issued1997de
dc.description.abstractIn investigations on the behaviour of robust estimators, typically their consistency and their asymptotic normality are studied as a necessity. Their rates of convergence, however, are often given less weight. We show here that the rate of convergence of a multivariate robust estimator to its true value plays an important role when using the estimator in procedures for identifying outliers in multivariate data.en
dc.format.extent101943 bytes
dc.format.extent159695 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/4845
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-6722
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectconvergence ratesen
dc.subjectoutlier identificationen
dc.subject.ddc310de
dc.titleConvergence Rates in Multivariate Robust Outlier Identificationen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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