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---------------------------------------------------------------------------------------------------------------------------------------------------------- Reference: 11.2.3 Suppose that X. , X are...
N.B: Solve only for (i), but draw the power function for (i) as well. X, are iid random variables from the M11, σ2) unknown, μ 01 8.3.1 Suppose that X1, population where μ is assumed known but σ is fix a number α E (0, 1) and to positive numbers σο, σ1. g, () ( : M". Wi Derive the MP level a test for Ho : σ in the simplest implementable form: (i) σ0 versus H1 : σ-01 (>...
Textbook: Probability and Statistical Inference by NITIS MUKHOPADHYAY 8.4.8 Suppose that.. are iid having the Uniform(0, 6) distribution with unknown 6(> 0). With preassigned α e (0, 1), derive the UMP level α test for H° : θ > versus H1 : θ 60 is a positive number in the simplest implementable form. (i) Use the Neyman-Pearson approach (ii) Use the MLR approach 8.4.8 Suppose that.. are iid having the Uniform(0, 6) distribution with unknown 6(> 0). With preassigned α...
Let X1,...,Xn be iid N(μ,σ2) with known μ and unknown σ. For α in (0,1), obtain the UMP level α test for H0: σ=σ0 vs. H1: σ>σ0
Suppose that X1,X2, ,Xn are iid N(μ, σ2), where both parameters are unknown. Derive the likelihood ratio test (LRT) of Ho : σ2 < σ1 versus Ho : σ2 > σ.. (a) Argue that a LRT will reject Ho when w(x)S2 2 0 is large and find the critical value to confer a size α test. (b) Derive the power function of the LRT
, Xn iid. N 5. Let Xi, (μ, σ2), μ E R and σ2 > 0 are both unknown. Find an asymp- totically likelihood ratio test (LRT) of approximate size α for testing μ-σ 2 H1:ťtơ2 Ho : versus , Xn iid. N 5. Let Xi, (μ, σ2), μ E R and σ2 > 0 are both unknown. Find an asymp- totically likelihood ratio test (LRT) of approximate size α for testing μ-σ 2 H1:ťtơ2 Ho : versus
11.3.4 Let the random variables Xil, ,Xini be iid Nund2), i 1,2, and that the X,'s be independent of the X2j's. Here we assume that , μ2, σ are all unknown and (μι, μ2) E R × R, σ E R+. with preassigned α E (0,1) and a real number D, show that a level α LR test for Ho : μι-μ,-D versus Hi : μ,-μ, D would reject Ho if and only if {n-1 + 7DSptnitn-2,a/2. {Hint: Repeat the...
N(0,02). We wish to use a 1. [18 marks] Suppose X hypothesis single value X = x to test the null Ho : 0 = 1 against the alternative hypothesis H1 0 2 Denote by C aat the critical region of a test at the significance level of : α-0.05. (f [2 marks] Show that the test is also the uniformly most powerful (UMP) test when the alternative hypothesis is replaced with H1 0 > 1 (g) [2 marks Show...
If X ~ N(0, σ2), then Y function of Y is X follows a half-normal distribution; i.e., the probability density This population level model might arise, for example, if X measures some type of zero-mean difference (e.g., predicted outcome from actual outcome) and we are interested in absolute differences. Suppose that Yi, ½, ,y, is an iid sample from fy(ylơ2) (a) Derive the uniformly most powerful (UMP) level α test of 2 2 0 versus Identify all critical values associated...
8.4.12 Suppose that X, .., Y, are iid random variables having the ernoulli(p) distribution where p e (0, 1) is the unknown parameter. With (0, l ), derive the randomized UMP level α test for l, P-Po p reassigned oE versus H p Po where p, is a number between 0 and 1 8.4.12 Suppose that X, .., Y, are iid random variables having the ernoulli(p) distribution where p e (0, 1) is the unknown parameter. With (0, l ),...
8. Suppose that Xi,..., Xn is a sample from a normal population having unknown pa- rameters μ and σ2 a) Devise a significance level α test of the null hypothesis 0 versus the alternative hypothesis for a given positive value σ1. b) Explain how the test would be modified if the population mean μ were known in advance 8. Suppose that Xi,..., Xn is a sample from a normal population having unknown pa- rameters μ and σ2 a) Devise a...