IF F(x, y) is the value of the joint distribution function of X and Y at (x, y), show that the marginal distribution function of X is given by   G(x) = F(x, ∞) for - ∞ 0, y> 0 and 0 elsewhere

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IF F(x, y) is the value of the joint distribution function of X and Y at (x, y), show that the marginal distribution function of X is given by

 

G(x) = F(x, ∞) for - ∞ <x < ∞

 

Use this result to find the marginal distribution function of X for the random variable

 

F(x, y) = { (1-e-x^2 ) (1- e-y^2) for x>0, y> 0 and 0 elsewhere 

 

                    

 

 

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