Suppose (X, Y ) has bivariate normal distribution, E(X) = E(Y ) = 0,V ar(X) = σX2 , V ar(Y ) = σY2 and Correl(X, Y ) = ρ. Calculate the conditional expectation E(X2|Y ).
Since (X, Y ) have a bivariate normal distribution with , E(X) = E(Y ) = 0,V ar(X) = σ2X , V ar(Y ) = σ2Y and Correlation coefficient ρ, the conditional distribution of X given Y is univariate normal with conditional mean
E(X|Y)= Yρ σX/ σY and conditional variance Var(X|Y)= σ2X (1-ρ2). …………………….(*)
Then E(X2|Y )=[ E(X2|Y )- {E(X|Y)}2]+{E(X|Y)}2
=Var(X|Y)+ {E(X|Y)}2
= σ2X (1-ρ2)+{ Yρ σX/ σY}2 (using (*))
= σ2X( 1-ρ2+ ρ2Y2/ σ2Y)
Suppose (X, Y ) has bivariate normal distribution, E(X) = E(Y ) = 0,V ar(X) =...
1. Suppose (x, Y) has bivariate normal distribution, E(x) E(Y)- 0, Var(X) σ , Var(Y) σ and Correl(X, Y) p. Calculate the conditional expectation E(X2|Y).
Let X and Y have a bivariate normal distribution with parameters μX = 10, σ2 X = 9, μY = 15, σ2 Y = 16, and ρ = 0. Find (a) P(13.6 < Y < 17.2). (b) E(Y | x). (c) Var(Y | x). (d) P(13.6 < Y < 17.2 | X = 9.1). 4.5-8. Let X and Y have a bivariate normal distribution with parameters Ax-10, σ(-9, Ily-15, σǐ_ 16, and ρ O. Find (a) P(13.6< Y < 17.2)...
Suppose that X and Y form a bivariate normal distribution. You are given that E[X] = E[Y] = 0, with o x = 3, 0y = 2. Further, the correlation between X and Y is 0.5. Find P(X<Y + 1).
Suppose that X and Y form a bivariate normal distribution. You are given that E[X] = E[Y] = 0, with o x = 3, 0y = 2. Further, the correlation between X and Y is 0.5. Find P(X<Y + 1).
Suppose that X and Y form a bivariate normal distribution. You are given that E[X] = E[Y] = 0, with o x = 3, 0y = 2. Further, the correlation between X and Y is 0.5. Find P(X<Y + 1).
Suppose that X and Y form a bivariate normal distribution. You are given that E[X] = E[Y] = 0, with o x = 3, 0y = 2. Further, the correlation between X and Y is 0.5. Find P(X<Y + 1).
Suppose that X and Y form a bivariate normal distribution. You are given that E[X] = E[Y] = 0, with o x = 3, 0y = 2. Further, the correlation between X and Y is 0.5. Find P(X<Y + 1).
bos on 559 2. Random variable X and Y have a bivariate normal distribution. The conditional density of X given Y = y is a OVH a. bivariate normal distribution Bossiu b. chi-square distribution c. linear distribution oms d. normal distribution e. not necessarily any of the above distributions. 3. The probability distribution for the random variable X is shown by the table. Use the transformation technique to construct the table for the probability distribution of Y = x2 +...
(a) Show that (Xi, X2) has a bivariate normal distribution with means μ1 , μ2, variances 어 and 05, and correlation coefficient ρ if and only if every linear combination c Xc2X2 has a univariate normal distr bution with mean c1μι-c2μ2, and variance c?σ? + c3- +2c1c2ρσ12, where cı and c2 are real constants, not both equal to zero. (b) Let Yİ = Xi/ởi, i = 1,2. Show that Var(Y-Yo) = 2(1-2).
please help me 6. Suppose X, Y have a bivariate normal distribution with marginal dis- tribution X ~ N(0,1) and the conditional distribution of Y given X-x is N(ax + b,a?). (i). What is the marginal distribution of Y? (ii). What is the conditional dist ribut ion of X given Y-y?