Can someone please help solve the problem below? I keep getting the answer incorrect.
Can someone please help solve the problem below? I keep getting the answer incorrect. 12 (13...
Can someone please help solve the problem below? I keep getting the answer incorrect. 12 (13 points) The random variables X and Y both have the same mean value of Their joint probability density function is (x+y, 0SX S1, 0 s y si fxy(x, y)= 0, otherwise. Determine the covariance of X and Y.
Can someone please help solve the problem below? I keep getting the answer incorrect. 12 (13 points) The random variables X and Y both have the same mean value of Their joint probability density function is (x+y, 0SX S1, 0 s y si fxy(x, y)= 0, otherwise. Determine the covariance of X and Y.
Can someone please help solve the problem below? I keep getting the answer incorrect. = (12 points) The random variables X1, X2, and X3 are jointly Gaussian with the following mean vector and covariance matrix: [4 2 0 = 2 5 -1 0-1 The random variable Y is formed from X1, X2, and X; as follows: Y=X1 - X2 + X: +4. Determine P(Y> 3). X x 3 1
Can someone please help solve the problem below? I keep getting the answer incorrect. = (12 points) The random variables X1, X2, and X3 are jointly Gaussian with the following mean vector and covariance matrix: [4 2 0 = 2 5 -1 0-1 The random variable Y is formed from X1, X2, and X; as follows: Y=X1 - X2 + X: +4. Determine P(Y> 3). X x 3 1
Can someone please help solve the problem below? I keep getting the answer incorrect. = (12 points) The random variables X1, X2, and X3 are jointly Gaussian with the following mean vector and covariance matrix: [4 2 0 = 2 5 -1 0-1 The random variable Y is formed from X1, X2, and X; as follows: Y=X1 - X2 + X: +4. Determine P(Y> 3). X x 3 1
Can someone please explain how to solve the problem below? I keep getting the answer incorrect. (13 points) The random process X(t) consists of the following two sample functions which are equally likely: x(t,sı)=e", x(t,82)=-et Determine the mean and autocorrelation function of X(t), and also determine whether X(t) is wide sense stationary. (Note: no credit will be awarded for correct guesses without justification).
Let the random variable X and Y have the joint probability density function. fxy(x,y) lo, 3. Let the random variables X and Y have the joint probability density function fxy(x, y) = 0<y<1, 0<x<y otherwise (a) Compute the joint expectation E(XY). (b) Compute the marginal expectations E(X) and E(Y). (c) Compute the covariance Cov(X,Y).
3. Let the random variables X and Y have the joint probability density function 0 y 1, 0 x < y fxy(x, y)y otherwise (a) Compute the joint expectation E(XY) (b) Compute the marginal expectations E(X) and E (Y) (c) Compute the covariance Cov(X, Y)
The joint probability density function of two continuous random variables X and Y is Find the value of c and the correlation of X and Y. Consider the same two random variables X and Y in problem [1] with the same joint probability density function. Find the mean value of Y when X<1. fxy(x,y) = { C, 0 <y < 2.y < x < 4-y 10, otherwise
2. Suppose that the random variables X and Y have joint probability density function given by f(x, y) = 18(x - x?)y?, 0SX S1, OS y si. Let U = XY. Find the density function of U.