In this paper, a class of generalized Bayes Minimax estimators of the mean vector of a normal distribution with unknown positive definite covariance matrix is obtained under the sum of squared error loss function. It is shown that this class is an extension of the class obtained by Lin and Tasi (1973).
Zeinodini S, Parsian A. Minimax Generalized Bayes Estimator of Normal Mean Vector with Unknown Covariance Matrix. JSS 2011; 4 (2) :183-192 URL: http://jss.irstat.ir/article-1-117-en.html