Suppose that X is Bernoulli random variable with P(X=1)= and P(X=0)=1 , and it is desired to guess the value of on the basis of X under the squared error loss function L(,d)=(d) . Assume that the domain of is =[91,98] . Find the minimax estimator of under the squared error loss function L(0,d) = (0-d)L(,d)=(d) when =[91,98] . For that purpose, let us consider two kinds of Bayesian procedures: