8. Suppose W and Z have a bivariate normal distribution 1 1 2(1-p2) (-2pzw+u2) fzw (z,...
6. Suppose W and Z have a bivariate normal distribution 1 2(1-2 (-2pzw+w2) fzw(z, w) 27T Find the distribution of the RV E(Z|W). Explain your derivation. [12] 6. Suppose W and Z have a bivariate normal distribution 1 2(1-2 (-2pzw+w2) fzw(z, w) 27T Find the distribution of the RV E(Z|W). Explain your derivation. [12]
6. Suppose that (W, Z) have a bivariate normal distribution, that W ∼ N (0, 1), and that the conditional distribution of Z, given that W = w, is N (aw + b, τ 2 ). (a) What is the marginal distribution of Z? (b) What is the conditional distribution of W, given that Z = z? 6. Suppose that (W, Z) have a bivariate normal distribution, that W N(0,1), and that the conditional distribution of Z, given that W-w....
6. Suppose that (W, Z) have a bivariate normal distribution, that W~N(0, 1), and that the conditional distribution of Z, given that W-w, is N(aw b, T2). (a) What is the marginal distribution of Z? b) What is the conditional distribution of W, given that Z-2?
Suppose that (W,Z) have a bivariate normal distribution, that W ~N(0,1), and that the conditional distribution of Z, given that Ww, is N(aw b,T2). (a) What is the marginal distribution of Z? (b) What is the conditional distribution of W, given that Z2?
Suppose that X and Y are bivariate normal with density quadratic term Ξ 1 (a-2 px yty xor f(x,y) = This means that X and Y are correlated standard normal random variables since We will show that X and the new random variable Z defined as Since Z is obtained as a linear combination of normal random variables, it is also a. What is the mean of Z, call it E[Z]? b. What is the variance-covariance matrix of the random...
2. Suppose that you can draw independent samples (U,, U2,U. from uniform distribution on [0,1]. (a) Suggest a method to generate a standard normal random variable using (U, U2,Us...) Justify your answer. b) How can you generate a bivariate standard normal random variable? (Note that a bivariate standard normal distribution is a 2-dimensional normal with zero mean and identity covariance matrix.) (c) What can you suggest if you want to generate correlated normal random variables with covariance matrix Σ= of...
The random variables Z and W have a bivariate normal dis- tribution with EZ] = E[W] = 0, Var(Z) = Var(W) = 1, and oorrelation ρ E (-1,1). Given that Pl2+ W 1-8413, find the value ofp. Hint: 8413 = φ(1), where φ is the standard normal distribution function.] The random variables Z and W have a bivariate normal dis- tribution with EZ] = E[W] = 0, Var(Z) = Var(W) = 1, and oorrelation ρ E (-1,1). Given that Pl2+...
Let (?,?) have a bivariate normal distribution with mean (0,0) and covariance matrix . Let (?1,?1),…,(??,??) be a random sample of size n from this distribution. Find a sufficient statistic for p.
Problem 2 [17 points]. Transformations! a) (5 points) Suppose the time, W, it takes to complete a technical task at a workshop has probability density function -w/2 f(w)y 0, 0, otherwise Using the appropriate transformation methods, find the density function for the a time it takes two workers to complete this technical task: S Wi + Ws b) (5 points) Derive the moment generating function of a standard normal randon variable. Use point form to explain each step in your...
Problem \(1 \quad\) Bivariate normal distributionAssume that \(\boldsymbol{X}\) is a bivariate normal random variable with$$ \boldsymbol{\mu}=E \boldsymbol{X}=\left(\begin{array}{l} 0 \\ 2 \end{array}\right) \quad \text { and } \quad \Sigma=\operatorname{Cov} \boldsymbol{X}=\left(\begin{array}{ll} 3 & 1 \\ 1 & 3 \end{array}\right) $$Let$$ \boldsymbol{Y}=\left(\begin{array}{l} Y_{1} \\ Y_{2} \end{array}\right)=\left(\begin{array}{lr} 1 / \sqrt{2} & -1 / \sqrt{2} \\ 1 / \sqrt{2} & 1 / \sqrt{2} \end{array}\right) \boldsymbol{X} $$a) Find the mean vector and covariance matrix of \(Y\). What is the distribution of \(Y ?\) Are \(Y_{1}\) and...