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On a Necessary and Sufficient Condition for Admissibility of Estimators When Strictly Convex Loss is Used
1. Introduction. In this paper we consider a necessary and sufficient condition for the admissibility of estimators when strictly convex loss is used. The result is stated as Theorem 1. The sufficiency of the condition is obvious and has served as the basis of admissibility proofs in [1], [6], [11], …