Let X and Y be jointly Gaussian random variables (which means that any linear combination of X
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Let X and Y be jointly Gaussian random variables (which means that any linear combination of X and Y is Gaussian). If the covariance of X and Y is 0 , then X and Y are independent. Use this theorem to prove that: If X1,…,Xn denotes a random sample from N(?,?2), then for each i=1,…,n,X? and Xi?X? are independent. (Recall that if X1,…,Xn are independent Gaussian, then any linear combination of them is still Gaussian.)
Related Book For
Introduction To Mathematical Statistics And Its Applications
ISBN: 9780321693945
5th Edition
Authors: Richard J. Larsen, Morris L. Marx
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