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The robust approach to data analysis uses models that do not completely specify the distribution of the data, but rather assume that this distribution belongs to a certain neighborhood of a parametric model. Consequently, robust inference should be valid under all the distributions in these neighborhoods. Regarding robust inference, there are two important(More)
1 ABSTRACT The maximum asymptotic bias of an estimator is a global robustness measure of the performance of an estimator. The projection median estimator for multivariate location shows a remarkable behavior regarding asymptotic bias. In this paper we consider a modiication of the projection median es-timator which renders an estimate with better bias(More)
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