Q3 Let X and Y be jointly Gaussian random variables with pdf √√7 -(x²+4y²-3xy+3y-2x+1)/2 fxx(x, y) = 4T for all x, y. Fi

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Q3 Let X and Y be jointly Gaussian random variables with pdf √√7 -(x²+4y²-3xy+3y-2x+1)/2 fxx(x, y) = 4T for all x, y. Fi

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Q3 Let X And Y Be Jointly Gaussian Random Variables With Pdf 7 X 4y 3xy 3y 2x 1 2 Fxx X Y 4t For All X Y Fi 1
Q3 Let X And Y Be Jointly Gaussian Random Variables With Pdf 7 X 4y 3xy 3y 2x 1 2 Fxx X Y 4t For All X Y Fi 1 (206.78 KiB) Viewed 41 times
Q3 Let X and Y be jointly Gaussian random variables with pdf √√7 -(x²+4y²-3xy+3y-2x+1)/2 fxx(x, y) = 4T for all x, y. Find E[X], E[Y], VAR[X], VAR[Y], and COV(X, Y). Hint: Start by finding the means of X, Y noting that the joint density function always peaks at (μx, μy). Then compare the form of the density function to the general form of the density function of jointly Gaussian random variables to determine all the parameters.
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