Admissible estimators of a multivariate normal mean vector when the scale is unknown

Abstract

We study admissibility of a subclass of generalized Bayes estimators of a multivariate normal vector when the variance is unknown, under scaled quadratic loss. Minimaxity is also established for certain of these estimators.