= = Suppose X = (X1,...,xn) consists of iid U[0,0] random variables for some unknown 0 0 = (0,0). Consider the decision problem with decision space D= and loss L(d|0) = \d 0). In lectures two estimators were derived: dmed(X) = 2X(n), the median-unbiased version of the MLE/sample maximum; dfat (X) = 2n=1 X(n), the Bayes procedure using the flat prior weight function w(0) = 1. It was also shown that R(@dmed) {2* - 1}. Fix 0