Minimax Estimates of the Mean of a Normal Distribution with Known Variance

Abstract

It is proved that the classical estimation procedures for the mean of a normal distribution with known variance are minimax solutions of properly formulated problems. A result of Stein and Wald [1] is an immediate consequence. Other such optimum properties follow. Sequential and non-sequential problems can be treated in this manner. Interval and point estimation are discussed.