The Masking Breakdown Point of Multivariate

نویسنده

  • Claudia Becker
چکیده

In this paper, we consider one-step outlier identiication rules for multivariate data, generalizing the concept of so-called outlier identiiers, as presented in Davies and Gather (1993) for the case of univariate samples. We investigate, how the nite-sample breakdown points of estimators used in these identiication rules innuence the masking behaviour of the rules.

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تاریخ انتشار 1997