Affine equivariant rank-weighted L-estimation of multivariate location

Published 18 Mar 2015 in math.ST and stat.TH | (1503.05392v2)

Abstract: In the multivariate one-sample location model, we propose a class of flexible robust, affine-equivariant L-estimators of location, for distributions invoking affine-invariance of Mahalanobis distances of individual observations. An involved iteration process for their computation is numerically illustrated.

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