Admissible estimators of a multivariate normal mean vector when the scale is unknown
尺度未知时多元正态均值向量的可容许估计量
Summary We study admissibility of a subclass of generalized Bayes estimators of a multivariate normal vector in the case where the variance is unknown, under scaled quadratic loss. Minimaxity is established for some of these estimators.