Let be iid observations from , is known and is an unknown real number. Let be the parameter of interest.
(a) Find the CRLB for the variance of an unbiased estimator for .
(b) Find the UMVUE for .
(c) Show that is an unbiased estimator for .
(d) Show that .
Let be iid observations from , is known and is an unknown real number. Let be the paramete...
1.(c) 2.(a),(b) 5. Let Xi,..., X, be iid N(e, 1). (a) Show that X is a complete sufficient statistic. (b) Show that the UMVUE of θ 2 is X2-1/n x"-'e-x/θ , x > 0.0 > 0 6. Let Xi, ,Xn be i.i.d. gamma(α,6) where α > l is known. ( f(x) Γ(α)θα (a) Show that Σ X, is complete and sufficient for θ (b) Find ElI/X] (c) Find the UMVUE of 1/0 -e λ , X > 0 2) (x...
Let X1,X2,...,Xn be iid exponential random variables with unknown mean β. (b) Find the maximum likelihood estimator of β. (c) Determine whether the maximum likelihood estimator is unbiased for β. (d) Find the mean squared error of the maximum likelihood estimator of β. (e) Find the Cramer-Rao lower bound for the variances of unbiased estimators of β. (f) What is the UMVUE (uniformly minimum variance unbiased estimator) of β? What is your reason? (g) Determine the asymptotic distribution of the...
Let X1, X2, X3 ∼(iid) Exponential(λ). (a) Show that T(X1, X2, X3) = X1 + X2 + X3 is a sufficient statistic for λ. (b) Find the MVUE for λ. (c) Show that is not a sufficient statistic for λ. (d) Let = and find . Give an argument for why is not the best estimator of λ. We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to...
Suppose X1, X2, , xn is an iid sample from fx(x10)-θe_&z1 (a) For n 2 2, show that (x > 0), where θ > 0 . n- is the uniformly minimum variance unbiased estimator (UMVUE) of θ (b) Calculate varo(0). Comment, in particular, on the n 2 case. (c) Show that vars(0) does not attain the Cramer-Rao Lower Bound (CRLB) on the variance of all unbiased estimators of T(9-0 (d) For this part only, suppose that n 1, 11T(X) is...
Let be a random sample from , where is an unknown parameter. Show that is a sufficient statistics for , where is the sample variance. We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image2 We were unable to transcribe this imageWe were unable to transcribe this image
Question 3 15 marks] Let X1,..,X be independent identically distributed random variables with pdf common ) = { (#)%2-1/64 0 fx (a;e) 0 where 0 >0 is an unknown parameter X-1. Show that Y ~ T (}, ); (a) Let Y (b) Show that 1 T n =1 is an unbiased estimator of 0-1 ewhere / (0; X) is the log- likeliho od function; (c) Compute U - (d) What functions T (0) have unbiased estimators that attain the relevant...
are iid ( ) and and is known. Finding Maximum likelihood estimator about . We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Let X1, ..., X., be i.i.d random variables N(u, 02) where u is known parameter and o2 is the unknown parameter. Let y() = 02. (i) Find the CRLB for yo?). (ii) Recall that S2 is an unbiased estimator for o2. Compare the Var(S2) to that of the CRLB for
1. Let Xi, X2,.., Xn be a random sample drawn from some population with mean μ--2λ and variance σ2-4, where λ is a parameter. Define 2n We use V, to estimate λ. (a) Show that is an unbiased estimator for λ. (b) Let ơin be the variance of V,, . Show that lin ơi,- 1. Let Xi, X2,.., Xn be a random sample drawn from some population with mean μ--2λ and variance σ2-4, where λ is a parameter. Define 2n...
let x1.........xn be independent where xi is normally distributed with unknown mean u and unknown variance 0 find the UMP test for testing =0 against 0 when it is assumed that is known.=1 We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image