Q1. Let x ∼ Nk (0, σ2I) and let y = px, where P is a k x k orthogonal matrix. Show that y has a Nk (0, σ2I) distribution.
Q2. Suppose Y ∼ N3 (0, I3).
(a) Show that Q = 1/3[(Yl - Y2)2 + (Y2 - Y3)2 + (Y3 - Y1)2] has a χ2(2) distribution.
(b) Find the distribution of. What can you tell about the density of V?
Q3. Let Z ∼ N3(0, I3)and Y = µ + AZ, where
(a) Use R to find the mean and variance of Ymax = max{Y1, Y2, Y3, Y4} by simulation.
(b) Simulate 10000 values of (Y - µ)'∑-(Y - µ), where ∑- is a g-inverse for the covariance of Y. Find the mean and variance of the simulated values. Also draw the histogram and the density of the simulated values.