QUESTION 5 Suppose that Yı, Y2,.., Yn independent variables such that where β is an unknown...
QUESTION 2 Let Xi.. Xn be a random sample from a N (μ, σ 2) distribution, and let S2 and Š-n--S2 be two estimators of σ2. Given: E (S2) σ 2 and V (S2) - ya-X)2 n-l -σ (a) Determine: E S2): (l) V (S2); and (il) MSE (S) (b) Which of s2 and S2 has a larger mean square error? (c) Suppose thatnis an estimator of e based on a random sample of size n. Another equivalent definition of...
QUESTION 3 Suppose that Y, Y2, ., Y, are independent variables such that Y, =Bx? +€,, != 1,2,,n, where B is an unknown parameter, X1, X2, X, are known real numbers (+0), and €1. €2. ,€, are independent random errors each with a normal distribution with mean 0 and variance o (a) Show that is an unbiased estimator of B What is the variance of the estimator? (b) Show that the least squares estimator of B is not the same...
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...
7. (12 points) Let Yı,Y2, ..., Yn be a random sample from Gamma(a,b), where a = 2 and 3 is an unknown parameter. 2 (a) Find the method of moments (MOM) estimator of B. (b) Find the maximum likelihood estimator (MLE) of B. (€) Are the estimators in parts (a) and (b) MVUEs for B? Justify your answer.
Let X1,, Xn be independent and identically distributed random variables with unknown mean μ and unknown variance σ2. It is given that the sample variance is an unbiased estimator of ơ2 Suggest why the estimator Xf -S2 might be proposed for estimating 2, justify your answer
Question 1 (20 points). Suppose that Yı, Y2, ..., Yn is an iid sample from a U(0,1) distribution. (a) Show that 6 = 27 – 1 is an unbiased estimator of 0. (b) Show that the standard error of Ôn is (c) Find an unbiased estimator of . Prove that your estimator is unbiased.
3. Let Ya» . . . , Yn be independent normally distributed random variables with E(X) Gai and V(X)-1. Recall that the normal density with mean μ and variance σ given by TO 202 (a) Find the maximum likelihood estimator β of β (b) Show that ß is unbiased. (c) Determine the distribution of β (d) Recall that the likelihood ratio test of Ho : θ 02] L1] L2] θ° is to θ0 against H1: θ reject Ho if L(e)...
Consider data that follow an exponential regression with no intercept y ind exp(Bri), where the scalar parameter β 〉 0 is unknown and the x's 〉 0 are fixed and known for , .. . ,n. That is, Yı,... , Yn are independent random variables with density functions for y > 0. Note that E(Y)- Bxi a) Derive the least squares estimator B, i.e., minimize What are the mean and variance of this estimator? (b) Derive the maximum likelihood estimator...
5. Let 11,D, , , ,Zn and yı, y2, . . . , ym denote independent observed random samples of size n and m taken from two normally distributed populations with the same mean μ but different variances σ and σ . lihood estimator for the common mean μ based on the combined sample Find the maximum like . Is pmle unbiased? Find the variance of nle. - Define the following estimator n+ m Is μ unbiased. Find the variance...
4. (24 marks) Suppose that the random variables Yi,..., Yn satisfy Y-B BX,+ Ei, 1-1, , n, where βο and βι are parameters, X1, ,X, are con- stants, and e1,... ,en are independent and identically distributed ran- dom variables with Ei ~ N (0,02), where σ2 is a third unknown pa- rameter. This is the familiar form for a simple linear regression model, where the parameters A, β, and σ2 explain the relationship between a dependent (or response) variable Y...