论文信息 - Minimum distance estimators

Minimum distance estimators

Abstract Unweighted minimum distance estimators in a location-scale model are investigated. They are derived from the Cramer-von Mises goodness of fit measure. It is observed that these estimates are M-estimators, having good robustness properties such as positive breakdown and bounded influence functions and good efficiency properties with respect to L 2 -estimators.

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