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If a,b,c and d are such that ,then W and Z will be uncorrelated.
Moreover, and ,then also W and Z will be uncorrelated.
5.30 Suppose two random variables Xand Yare both zero mean and unit variance. Furthermore, assume they...
Let ˜x and ˜y be zero-mean, unit variance Gaussian random variables with correlation coefficients, . Suppose we form two new random variables using linear transformations: Let and be zero-mean, unit variance Gaussian random variables with correlation coefficients, p. Suppose we form two new random variables using linear transformations: Find constraints on the constants a, b, e, and d such that ù and o are inde- pendent.
Suppose that Z1 and Z2 are uncorrelated random variables with zero mean and unit variance. Consider the process defined by Yt = Z1 cos(ωt) + Z2 sin(ωt) + et where et ∼ iid N(0,σ2 e) and {et} is independent of both Z1 and Z2. Prove that {Yt} is stationary.
Suppose that X is a Gaussian Random Variable with zero mean and unit variance. Let Y=aX3 + b, a > 0 Determine and plot the PDF of Y
a) Let X and Y be two random variables with known joint PDF Ir(x, y). Define two new random variables through the transformations W=- Determine the joint pdf fz(, w) of the random variables Z and W in terms of the joint pdf ar (r,y) b) Assume that the random variables X and Y are jointly Gaussian, both are zero mean, both have the same variance ơ2 , and additionally are statistically independent. Use this information to obtain the joint...
Suppose that X and Y are independent random variables with the same unknown mean u. Both X and Y have a variance of 36. Let T = aX + bY be an estimator of u. What condition must a and b satisfy in order that T be an unbiased estimator for ? Is T a normal random variable?
QUESTION4 (a) Let e be a zero-mean, unit-variance white noise process. Consider a process that begins at time t = 0 and is defined recursively as follows. Let Y0 = ceo and Y1-CgY0-ei. Then let Y,-φ1Yt-it wt-1-et for t > ï as in an AR(2) process. Show that the process mean, E(Y.), is zero. (b) Suppose that (a is generated according to }.-10 e,-tet-+扣-1 with e,-N(0.) 0 Find the mean and covariance functions for (Y). Is (Y) stationary? Justify your...
[1] The joint probability mass function of two discrete random variables A and B is PAB(a, b) = Sca²b, a = -2,2 and b = 1,2 0, otherwise Clearly stating your reasons, answer the following two (i) Are A and B are uncorrelated? (ii) Are A and B independent? [2] X is continuous uniform (1,7) while Y is exponential with mean 2. If the variance of (X+2Y) is 20, find the correlation coefficient of X and Y.
[1] The joint probability mass function of two discrete random variables A and B is Pab(a,b) = {ca2b, a = -2,2 and b = 1,2 otherwise Clearly stating your reasons, answer the following two (1) Are A and B are uncorrelated? (ii) Are A and B independent? [2] X is continuous uniform (1,7) while Y is exponential with mean 2. If the variance of (X+2Y) is 20, find the correlation coefficient of X and Y.
Suppose that X and Z are zero-mean jointly normal random variables, such that of = 4,02 = 17/9, and E [XZ] = 2. We define a new random variable Y = 2X – 3Z. Determine the PDF of Y, the conditional PDF of X given Y, and the joint PDF of X and Y.
Problem #1 below. 2. Assume that the random variables X and Y of Prob. 1, are jointly Gaussian, both are zero mean, both have the same variance o2, and additionally are statistically independent. Use this information to obtain the joint pdf fzv(z,w) of Prob. 1. Verify that this joint pdf is alial 1. Let X and Y be two random variables with known joint PDF fx(x,y). Define two new random variables through the transformations Determine the joint pdf fzw(z, w)...