please use k=24, m=13, n=2, thanx

5. Let X1, X2, . . . , Xk be a random sample from a distribution with density Mm) = m9mx_(m+1)1[6,oo)($), Where 0A> O is an unknown parameter. Let BM be the Maximum Likelihood Estimator of 6. a) For QML, calculate the bias of the estimator, assuming that the true value of parameter 0 is equal to n :m - k; b) For BML, calculate the variance of the estimator, assuming that the true value of parameter His equalton-m-k. ANSWER: a) bias of ML: b) variance of ML: Solution