Simulate 10000 values of y - microsum-y - micro where sum-


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)+ (Y3 - Y1)2] has a χ2(2) distribution.

(b) Find the distribution of1932_Figure.png. What can you tell about the density of V?

Q3. Let Z ∼ N3(0, I3)and Y = µ + AZ, where

213_Figure1.png

(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.

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Engineering Mathematics: Simulate 10000 values of y - microsum-y - micro where sum-
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