Let Xi, .Χίο be a sample of iid Bin( 1, θ) random variables, and let e-{i : Σοί HA : θ 0.8. Determine a) the size of this critical region. b) the power of this critical region for 0 0.8. x,2 9} be a...
please see picture 5. Let X1, X2,..., Xn be Bin(2,0) random variables with Θ {.45, .65). For testing Ho : θ 45 versus HA : θ-66, determine the following: (a) the form of the Neyman-Pearson MP critical region for a size a test (b) the sampling distribution of 2iI X (c) the value of ho for α A.05 when n-20. (d) π(8) for α .05 when n-20. a random sample of lid 5. Let X1, X2,..., Xn be Bin(2,0) random...
Let X1,…, Xn be a sample of iid Bin(1, ?) random variables, and let T = X(1 − X) be an estimator of Var(Xi ) = ?(1 − ?). Determine E(T). Bias(T; ?(1 − ?)).
2. Let X1, , Xn be iid exponential(9) random variables. Derive the LRT of Ho : ? = ?? versus Ha : ????. Determine an approximate critical value for a size-a test using the large sample approximation.
5. Let Xi, , X, (n 3) be iid Bernoulli random variables with parameter θ with 0<θ<1. Let T = Σ_iXi and 0 otherwiase. (a) Derive Eo[6(X,, X.)]. (b) Derive Ee16(X, . . . , Xn)IT = t], for t = 0, i, . . . , n.
Suppose Xi and X2 are iid from 0, otherwise, where θ 0, and consider testing Ho : θ 1 versus H1 : θ 1 . We have two tests: where 0<c<1 (a) Show that the power functions of the two tests are A(0)-1-(0.9)θ and β2(0)-1 + d|θ Inc-1), respectively. (b) Calculate the size of the φι test. Then, find the value of c that gives the same size for the φ2 test. (c) Is фг a most powerful test of...
1(a) Let Xi, X2, the random interval (ay,, b%) around 9, where Y, = max(Xi,X2 ,X), a and b are constants such that 1 S a <b. Find the confidence level of this interval. Xi, X, want to test H0: θ-ya versus H1: θ> %. Suppose we set our decision rule as reject Ho , X, be a random sample from the Uniform (0, θ) distribution. Consider (b) ,X5 is a random sample from the Bernoulli (0) distribution, 0 <...
2. (20pts) Let Xi,..., X be a random sample from a population with pdf f(x)--(1 , where θ > 0 and x > 1. (a) Carry out the likelihood ratio tests of Ho : θ-a, versus Hi : θ a-show that the likelihod ratio statistic corresponding to this test, A, can be re-written as Λ = cYne-ouY, where Y Σ:.. In (X), and the constant c depends on n and θο but not on Y. (b) Make a sketch of...
Suppose that Xi, X2,..., Xn is an iid sample from r > 0 where θ 0. Consider testing Ho : θ-Bo versus H1: θ (a) Derive a size α likelihood ratio test (LRT). (b) Derive the power function P(0) of the LRT. θο, where θο is known. (c) Now consider putting an inverse gamma prior distribution on θ, namely, 1 00), a 4a where a and b are known. Show how to carry out the Bayesian test (d) Is the...
2. Suppose that Xi, , Xn, n-: 25, form a random sample from a normal distribution with mean θ and variance 4. Consider the following hypotheses at α-0.05 Ho : θ-0 versus H1 : θ > 0. Derive the power function, π( 5), and evaluate it at θ--04,-02, 0,02, 0.4, 0.6, 0.8, 1. 2. Suppose that Xi, , Xn, n-: 25, form a random sample from a normal distribution with mean θ and variance 4. Consider the following hypotheses at...
1 1 Let X be a single observation from a population with density function 0-e- for x = 0, 1, 2, ,00 0 otherwise, What is the form likelihood ratio test critical region for testing Ho : θ-2 versus Ha : 1 1 Let X be a single observation from a population with density function 0-e- for x = 0, 1, 2, ,00 0 otherwise, What is the form likelihood ratio test critical region for testing Ho : θ-2 versus...