The random variables XI, X2.• • • Xn are independent and identically distributed binomially with parameters in and p. They thus have the same probability function
f (x) = (7)Pr (1 - p)' ; x = 0, 1, m
0 ; otherwise.
Let X = [ X„
(a) Show that the log-likelihood 1 (p; X) is given by
1 (p; X) = E logm + E x, logp + (Tim - E x,) log (1 - ;
(b) Show that the maximum likelihood estimator of p is
15.= m-1X = (nn) l
(c) Show that the Cramer-Rao lower bound for the variance of unbiased estimators of r (p) is
{T' (p)}2 p(1 - p) / (mn);
(d) By using the above, show that the Cram6r-Rao lower bound for the variance of unbiased estimators of the common variance of the X„ namely mp - p) is
m(1- 2p)2p(1 - p) /n,
(e) Give the asymptotic distribution of 1/f. Show that 1/p has mean equal to infinity. Is there any conflict between this fact and the asymptotic distribution you have found?
(f) Show that the best apprmdmate size-a test of H0 : p = 1/2 vs HA : p = 3/4 is to reject H0 when
EX; k,
where
E 2- N Q. j=k (m.n)
2"I^
Why is not possible to find an exact size-a test? Is this test Uniformly Most Powerful against HA : p > 1/2?