Becker, ClaudiaGather, Ursula2004-12-062004-12-061997http://hdl.handle.net/2003/484410.17877/DE290R-15061In 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.enUniversitätsbibliothek Dortmundmaskingoutlier identificationreakdown pointsrobust statistics310report