~ fo(x) On the basis of observing , find the most powerful size versus Hi: X~...
The random variable X has two possible distributions: fo(x) = ze-z?/21(x > 0) or a2 /2 (a) Find the most powerful level α-0.05 test of Ho : X ~ 0(x) versus H1 : X ~ fı(x) on the basis of observing X only b) Calculate the power of your test in part (a). The random variable X has two possible distributions: fo(x) = ze-z?/21(x > 0) or a2 /2 (a) Find the most powerful level α-0.05 test of Ho :...
Can anyone help me with this problem? Thank you! 7. Let X1,.. , Xn denote a random sample from (1-9)/0 x; Test Ho: θ Bo versus H1: θ θο. (a) For a sample of size n, find a uniformly most powerful (UMP) size-a test if such exists. (b) Take n-?, θ0-1, and α-.05, and sketch the power function of the UMP test. 7. Let X1,.. , Xn denote a random sample from (1-9)/0 x; Test Ho: θ Bo versus H1:...
Let X be a sample of size 1 from a Lebesgue p.d.f. fe. Find a UMP test of size α (0, ) for Ho : θ-Bo versus Hi : θ-A in the following cases: (a) foo)+( and fo, (x) ) Let X be a sample of size 1 from a Lebesgue p.d.f. fe. Find a UMP test of size α (0, ) for Ho : θ-Bo versus Hi : θ-A in the following cases: (a) foo)+( and fo, (x) )
parametric distribution 2. Let observations X, , ,X" be iid with a density function f. We would like to test for Ho :f=fo versus Hi : f关fo, where a form of fo is known. 2.1 Show that in this statement of the problem there are no most powerful tests. equivalent to testing the uniformity of f which the test is based. 2.2 Assume fo is completely known; prove that to test for Ho is 2.3 Research one test for normality...
Suppose X1, X2, .., Xn is an iid sample from where >0. (a) Derive the size α likelihood ratio test (LRT) for Ho : θ-Bo versus H : θ θο. Derive the power function of the LRT (b) Suppose that n 10, Derive the most powerful (MP) level α-0.10 test of Ho : θ 1 versus Hi: 0-2. Calculate the power of your test
Likelihood Ratio Tests - I only require (a) and (b) here. I'll post (c) and (d) for another question Let X1,..., Xn be a random sample from the distribution with pdf { 0-1e--)e f(r μ, θ ) - 0. where E Rand 0 > 0 (a) If 0 is known but a is unknown, find a likelihood ratio test (LRT) of size a for testing Η : μ> Ho Ho Ho versus where oi a known constant (b) If 0...
Likelihood Ratio Tests - I only require (c) and (d) here. I have posted (a) and (b) in another question Let X1,..., Xn be a random sample from the distribution with pdf { 0-1e--)e f(r μ, θ ) - 0. where E Rand 0 > 0 (a) If 0 is known but a is unknown, find a likelihood ratio test (LRT) of size a for testing Η : μ> Ho Ho Ho versus where oi a known constant (b) If...
Likelihood Ratio Tests - I only require (a) and (b) here. I'll post (c) and (d) for another question Let X1,..., Xn be a random sample from the distribution with pdf { 0-1e--)e f(r μ, θ ) - 0. where E Rand 0 > 0 (a) If 0 is known but a is unknown, find a likelihood ratio test (LRT) of size a for testing Η : μ> Ho Ho Ho versus where oi a known constant (b) If 0...
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...
Suppose that X1, X2, . . . , Xn is an iid sample of N (0, σ2 ) observations, where σ 2 > 0 is unknown. Consider testing H0 : σ 2 = σ 2 0 versus H1 : σ 2 6= σ 2 0 ; where σ 2 0 is known. (a) Derive a size α likelihood ratio test of H0 versus H1. Your rejection region should be written in terms of a sufficient statistic. (b) When the null...