4. Consider again the conditions of Exercise 2. Let Yn=max(XXn) and consider the estimator 82(XXn) = Yn a. Determine the MSE. R(0,82) for 0 > 0 b. Show that for n=2, R(0,82)=R(0,81) for 0 >0 c. Show that for n>3, the estimator 82 dominates the estimator 81.
5. Consider again the conditions of Exercises 2 and 4. Show that there exists a constant c* such that the estimator c*Yn dominates every other estimator having the form cYn for c ¥c*
6. Suppose that XXn form a random sample of size n(n >2) from a gamma distribution with parameters a and B, where the value of a is unknown(a > 0) and the value of B is known. Explain why X'n is an inadmissible estimator of the mean of this distribution when the squared error loss function is used.