Let X and Y be the number of successes in two sets of n binomial trials with

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Let X and Y be the number of successes in two sets of n binomial trials with probabilities p1 and p2 of success.

(i) The most powerful test of the hypothesis H : p2 ≤ p1 against an alternative

(p

1, p

2) with p

1 < p

2 and p

1+p

2 = 1 at level α < 1 2 rejects when Y −X>C and with probability γ when Y − X = C.

(ii) This test is not UMP against the alternatives p1 < p2.

[(i): Take the distribution Λ assigning probability 1 to the point p1 = p2 = 1 2

as an a priori distribution over H. The most powerful test against (p

1, p

2) is then the one proposed above. To see that Λ is least favorable, consider the probability of rejection β(p1, p2) for p1 = p2 = p. By symmetry this is given by 2β(p, p) = P{|Y − X| > C} + γP{|Y − X| = C}.

Let Xi be 1 or 0 as the ith trial in the first series is a success or failure, and



let Y1, be defined analogously with respect to the second series. Then Y − X = n i−1(Yi − Xi), and the fact that 2β(p, p) attains its maximum for p = 1 2 can be proved by induction over n.

(ii): Since β(p, p) < α for p = 1, the power β(p1, p2) is < α for alternatives p1 < p2 sufficiently close to the line p1 = p2. That the test is not UMP now follows from a comparison with φ(x, y) ≡ α.]

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Testing Statistical Hypotheses

ISBN: 9781441931788

3rd Edition

Authors: Erich L. Lehmann, Joseph P. Romano

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