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Let X1~x^2 (m, sigma) and X2 ~x^2 (n) where X1 and X2 are independently distributed. Derive the joint probability density function pdf of Y1 and
Let X1~x^2 (m, sigma) and X2 ~x^2 (n) where X1 and X2 are independently distributed.
Derive the joint probability density function pdf of Y1 and Y2 where X1 =Y1Y2 and X2 = Y2(1-Y1)
Derive the marginal pdf of Y1
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