Question: Let Y=(Y1,Y2,Y3,) be a random vector with mean vector and covariance matrix given by m = (1 , -1 , 3) and Cov (Y) =
Let Y=(Y1,Y2,Y3,) be a random vector with mean vector and covariance matrix given by
m = (1 , -1 , 3)
and Cov (Y) = 1 1 0
1 2 3
0 3 10
a. Let Z1= Y1 + Y2 + Y3, Z2 = 3Y1 +Y2 +Y3
Find for Z=(Z1,Z2)
i. E(Z)
ii. Var Z
iii. Cov (Z1,Z2)
Given the information in part (b), determine
i. The correlation matrix for Z
ii. Corr (Z1,Z2)
- Show that for a matrix A and a variance- covariance matrix (Summation sign)
(Summation sign)Ax= A(Summation sign)At
Suppose that x1 and x2 are independent with density function fx(x1) and fx(x2) find the distribution of u1= x1 + x2 and u2= x1-x2
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