(a) For this and the next problem, consider two independent normal random vari- ables Xi and...
Let X1 and X2 be independent standard normal random vari ables, and let Y-AX-b, where Y-(y, Y)т, X-(X1, X2)T, b (1, -2) and (a) Determine the joint pdf of ı and Y2 by using the formula given in class for the joint pdf of Y = g(X) when X and Y are random vectors of the same dimension, and q is invertible with both g and its inverse differentiable (b) Show that the joint pdf in (a) can be expressed...
Please provide additional steps. Xn be a sequence of independent random vari Example 38.1. Let Xi,..., ables that are all Poisson(A). Then, E(X1-λ, Var(X)-λ, and MX1 (t) = eA(e*-1). Let us compute the mgt of Zn-(X1 + . . . + Xn-nλ)WnX: ηλ nex According to the Taylor-Macl.aurin expansion, etv1smaller terms. Thus, Mz, (t) = exp {-tvAn + tvAn + 2 + smaller terms} n艹eta
Let X1, X2, ..., Xn be independent Exp(2) distributed random vari- ables, and set Y1 = X(1), and Yk = X(k) – X(k-1), 2<k<n. Find the joint pdf of Yı,Y2, ...,Yn. Hint: Note that (Y1,Y2, ...,Yn) = g(X(1), X(2), ..., X(n)), where g is invertible and differentiable. Use the change of variable formula to derive the joint pdf of Y1, Y2, ...,Yn.
4. Let X1,..., Xn be independent, identically distributed random vari- ables with common density 2 log c)? f(0; 1) = 0<<1, XCV21 (>0). : 212 (a) Find the form of the critical region C'* for the most powerful test of H:/= 1 vs. HQ: >1. (b) Suppose the n = 20 and a = .10. Find the specific value for the cutoff value) K from the critical region C* in part (a). (Hint: Show that Y = (log X/X) is...
Let X1, X2, X3 be independent random variables with E(X1) = 1, E(X2) = 2 and E(X3) = 3. Let Y = 3X1 − 2X2 + X3. Find E(Y ), Var(Y ) in the following examples. X1, X2, X3 are Poisson. [Recall that the variance of Poisson(λ) is λ.] X1, X2, X3 are normal, with respective variances σ12 = 1, σ2 = 3, σ32 = 5. Find P(0 ≤ Y ≤ 5). [Recall that any linear combination of independent normal...
Let X1 and X2 be independent random variables with means μ1 and μ2, and variances σ21 and σ22, respectively. Find the correlation of X1 and X1 + X2. Note that: The covariance of random variables X; Y is dened by Cov(X; Y ) = E[(X - E(X))(Y - E(Y ))]. The correlation of X; Y is dened by Corr(X; Y ) =Cov(X; Y ) / √ Var(X)Var(Y )
Question 6 [15 marks] Let X1, X2,..., Xn be independent and identically distributed random vari- ables with common probability function ()p(1-p) m m-a ; x 0,1,. ., m otherwise 0 where m is known and p is unknown (a) Obtain the Sequential Probability Ratio Test of Ho p = po versus HA p P, where pi > po, with significance level 0.01 and power 0.95. Describe the test precisely; (b) For the case where po 3/8,pı = 1/2, m =...
please help me! 4. Let Xi and X2 be two independent standard normal random variables Define two new random variables as follows: Yǐ = X1 +X2 and Y2 = X1 +ßX2. Y t ß but it is known that Cor(Y,Y)-0. Find ou are not given the const an (i) The density of Y2 . (ii) Cov(X2, Y2). (your answers shouldn't involve β)
50] 1. Suppose that Xi,X2.. are independent and identically distributed Bernoulli random vari-ables with success probability equal to an unknown parameter p E (0, 1). Let P,-n-1 Σǐl Xi denote the sample proportion. liol a. Ti, what des VatRtA-P) converge in law ? 10 a. To what does)converge in law ? [10] b. Use your answer to part a to propose an approximate 95% confidence interval for p. 10 c. Find a real-valued function g such that vn(g(p) -g(p)) converges...
Let X1 and X2 be two independent standard normal random variables. Define two new random variables as follows: Y-Xi X2 and Y2- XiBX2. You are not given the constant B but it is known that Cov(Yi, Y2)-0. Find (a) the density of Y (b) Cov(X2, Y2)