Admissible Minimax Estimation of a Multivariate Normal Mean with Arbitrary Quadratic Loss

The problem of estimating the mean of a p-variate (p 3) normal distribution is considered. It is assumed that the covariance matrix ∑ is known and that the loss function is quadratic. A class of minimax estimators is given, out of which admissible minimax estimators are developed.