Let X1, . . . , Xn ∼ iid log Normal (µ, σ^2 ) for σ^ 2 known. Find the LRT for H0 : µ = µ_0 vs H1 : µ not= µ_0.
f(x)=(2π)^(-1/2)(xσ)^(-1)*exp(-(ln x-µ)^2 /(2σ^2))
Let us write f0 and f1 as the density function under H0 and H1 respectively .By independence the joint density function of the sample under H0 is,
Where x- = sample mean
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
Let X1, . . . , Xn ∼ iid Exp(λ) and Y1, . . . , Ym ∼ iid Exp(τ ) be independent random samples. (a) Find the restricted MLEs under the null hypothesis H0 : λ = τ . (b) Write out a formula for the LRT statistic, and describe how you could perform this test asymptotically.
Let X1, . . . , Xn ∼ independent N(µ, τ ) for µ known. Find the Likelihood Ratio Test for H0 : τ ≥ τ_0 vs H1 : τ < τ_0. Use the fact that MLE of τ is (1/n)S^2.
Let X1, . . . , Xn ∼ Exp(θ) and we wish to test H0 : θ = θ_0 vs H1 : θ not= θ_0. Find the asymptotic LRT for this scenario.
Let X1, . . . , Xn be a random sample from a normal distribution, Xi ∼ N(µ, σ^2 ). Find the UMVUE of σ ^2 .
Let X1, . . . , Xn ∼ iid N(θ, σ^2 ), where σ^2 is known. We wish to estimate φ = θ^2 . Find the MLE for φ and the UMVUE for φ. Then compare the bias and mean squared error's of the two estimators
Let X1, X2, . . . , Xn be IID N(0, σ2 ) variables. Find the rejection region for the likelihood ratio test at level α = 0.1 for testing H0 : σ2 = 1 vs H1 : σ2 = 2.
Let X1, . . . , Xn ∼ Exp(θ) and we wish to test H0 : θ = θ_0 vs H1 : θ not= θ_0. Find the asymptotic LRT for this scenario.
Suppose that Xi, X2,..., Xn is an iid sample from 20 for x R and σ 〉 0. (a) Derive a size α likelihood ratio test (LRT) of H0 : σ (b) Derive the power function β(o) of the LRT 1 versus H1 : σ 1.
Let X1, . . . , Xn ∼ Exp(θ) and consider the test for H0 : θ ≥ θ_0 vs H1 : θ < θ_0. (a) Find the size-α LRT. With rejection region, R = {sample mean > c} where c will depend on a value from the χ ^2 df=2n distribution. (b) Find the appropriate value of c.