The Masking Breakdown Point of Multivariate Outlier Identification Rules

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.