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Consider the following bivariate joint probability density function for the random vector X fx. Y(x, y) = ( x - U,) (X1 - #x) (X2

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Consider the following bivariate joint probability density function for the random vector X fx. Y(x, y) = ( x - U,) (X1 - #x) (X2 - Ay) 2x / 1 - p'oxy exp 2 (1 - p2) - 2p + ( x - Up)- -00 0, o > 0, and |p|

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