Comparing robust generalized variances and comments on efficiency |
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Authors: | Rand R. Wilcox |
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Affiliation: | aDepartment of Psychology, University of Southern California, Los Angeles, CA 90089-1061, United States |
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Abstract: | Numerous papers have considered the problem of comparing univariate measures of dispersion corresponding to two independent groups. This paper considers a multivariate generalization of this problem where the goal is to compare robust generalized variances. For reasons given in the paper, attention is focused on a particular W-estimator where multivariate outliers are downweighted via a projection-type outlier detection method. Included are results on the small-sample efficiency of several estimators plus comments on using the usual generalized variance. |
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Keywords: | Robust measures of scatter Skipped estimators S-estimators Minimum volume ellipsoid estimator Minimum covariance determinant estimator Multivariate outliers |
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