Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/77129 
Year of Publication: 
1997
Series/Report no.: 
Technical Report No. 1997,09
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
In this paper, we consider one-step outlier identification rules for multivariate data-generalizing the concept of so-called a - 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.
Subjects: 
Breakdown points
Outlier identification
Masking Robust statistics
Document Type: 
Working Paper

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