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MATH 4820/5320: Intro Math Stat Power, Neyman-Pearson, and Most Powerful Tests Stephan R Sain Department of Mathematical Sciences University of Colorado at Denver ssain@math.cudenver.edu math.cudenver.edu/∼ssain S PRING 2006 L ECTURE 13 (lec13.pdf) 04/05/06 Outline • Neyman-Pearson Lemma – Most powerful tests • Uniformly most powerful tests • Announcements: – Homework 9 due Wednesday. – Exam II on Wednesday. – Final Exam ∗ Monday, May 8, 4-6:00 PM, SS 126B. 1 Power • Recall the definitions of α and β : – α = P [Type I Error] = P [Reject H0 when H0 is true] – β = P [Type II Error] = P [Fail to reject H0 when H0 is false] • Also, recall the definition of power, i.e. the probability of correctly rejecting the null hypothesis. – Power = 1 - Prob[Type II Error] = 1 - β • Let H0 : θ = θ0 and H1 : θ ∈ θ1 6= θ0 . – Simple (as opposed to composite) hypothesis. • Ideally, a test would be able to detect any θ ∈ θ1 , i.e. power would be one for all θ ∈ θ1 . • Clearly, this is not possible. – sampling variation • Hence, we want to find the “most powerful test”. 2 Neyman-Pearson Lemma • Consider testing H0 : θ = θ0 versus H1 : θ = θ1 based on the information in a random sample X1 , . . . , Xn from a pdf f (x; θ). • Let L(θ) = f (x1 ; θ) · · · f (xn ; θ) denote the likelihood of the sample for a value of the parameter θ . • Then, for a given α, the test statistic that maximizes the power at θ1 has a critical region determined by L(θ0 ) <k L(θ1 ) where k is chosen so that the test has the desired value of α. • Such a test is the most powerful α-level test for H0 versus H1 . 3 Proof • Let C define the critical region, i.e. C is the set of all values x1 , . . . , xn such that L(θ0 )/L(θ1 ) < k . – If C is the only critical region of size α, then we are done. • If another critical region (or equivalently another test) of size α exists (denoted by A), we need to show that Z Z C L(θ1 ) − A L(θ1 ) ≥ 0 where Z R Z L(θ) = Z ··· R L(θ; x1 , . . . , xn )dx1 · · · dxn . 4 Proof • Note that C = (C ∩ A) ∪ (C ∩ A0 ) and A = (A ∩ C) ∪ (A ∩ C 0 ). • Then Z C Z L(θ1 ) − = − = ZA L(θ1 ) Z ZC∩A ZA∩C C∩A0 L(θ1 ) + Z L(θ1 ) − C∩A0 A∩C 0 L(θ1 ) L(θ1 ) Z L(θ1 ) − A∩C 0 L(θ1 ) • Note that L(θ1 ) ≥ (1/k)L(θ0 ) at each point of C and L(θ1 ) ≤ (1/k)L(θ0 ) at each point of C 0 . • Hence, Z Z 0 ZC∩A A∩C 0 L(θ1 ) ≥ L(θ1 ) ≤ 5 1 L(θ0 ) k C∩A0 Z 1 L(θ0 ) 0 k A∩C Proof • These inequalities imply Z Z C∩A0 L(θ1 ) − A∩C 0 1 k L(θ1 ) ≥ ·Z ¸ Z C∩A0 L(θ0 ) − A∩C 0 L(θ0 ) • From earlier, Z C Z L(θ1 ) − A 1 k L(θ1 ) ≥ ·Z ¸ Z C∩A0 L(θ0 ) − A∩C 0 L(θ0 ) • Similarly, Z C∩A0 Z L(θ0 ) − ZA∩C = C 0 L(θ0 ) − = α−α = 0. 6 L(θ0 ) Z A L(θ0 ) Proof • Combining the last two steps gives the desired result that Z C Z L(θ1 ) − A 7 L(θ1 ) ≥ 0. Example Suppose Y is a single observations from the probability density function given by f (y; θ) for 0 = θy θ−1 < y < 1. Find the most powerful test with significance level α = 0.05 to test • H0 : θ = 2 versus H1 : θ = 1 • H0 : θ = 2 versus H1 : θ = 4 8 Another Example Let X1 , . . . , Xn denote a random sample from a N (µ, σ 2 ) distribution with σ 2 known. Find the most powerful test with significance level α for testing H0 : µ = 0 versus H1 : µ = v where v > 0. How does the test change if v < 0? 9 Uniformly Most Powerful Tests • What it the alternative is composite? – Example: H0 : θ = θ0 versus H1 : θ > θ0 • No general theorem is available! • If a test is most powerful for all θ defined by the alternative, then it is said to be uniformly most powerful. – Examine the critical region. In many cases it will only be a function of θ0 and hence achieves maximal power for any value of θ under the alternative. 10 One More Example Let Y have a binomial(n,p) distribution. • Find the most powerful test of level α for testing H0 : p = p0 against H1 : p = p1 where p1 > p0 . • If n = 100 determine the critical region for α = 0.05. • Is the test uniformly most powerful for testing H1 : p > p0 . 11 A Last Example Let X1 , . . . , Xn denote a random sample of size n from a Poisson distribution with mean λ. • Find the most powerful test with significance level α for testing H0 : λ = 2 against H1 : λ = 5. • If n = 4 determine the critical region for α = 0.05. How would you determine the critical region for large n? • Is the test uniformly most powerful for testing H1 : λ > 2. 12