Convergence Rates in Multivariate Robust Outlier Identification
dc.contributor.author | Becker, Claudia | de |
dc.contributor.author | Gather, Ursula | de |
dc.date.accessioned | 2004-12-06T18:38:25Z | |
dc.date.available | 2004-12-06T18:38:25Z | |
dc.date.issued | 1997 | de |
dc.description.abstract | In 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.extent | 101943 bytes | |
dc.format.extent | 159695 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | application/postscript | |
dc.identifier.uri | http://hdl.handle.net/2003/4845 | |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-6722 | |
dc.language.iso | en | de |
dc.publisher | Universitätsbibliothek Dortmund | de |
dc.subject | convergence rates | en |
dc.subject | outlier identification | en |
dc.subject.ddc | 310 | de |
dc.title | Convergence Rates in Multivariate Robust Outlier Identification | en |
dc.type | Text | de |
dc.type.publicationtype | report | en |
dcterms.accessRights | open access |