Becker, ClaudiaGather, Ursula2004-12-062004-12-061997http://hdl.handle.net/2003/484510.17877/DE290R-6722In 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.enUniversitätsbibliothek Dortmundconvergence ratesoutlier identification310report