Unformatted text preview: ( x, y, z ) = f X ( x ) Â· f Y ( y ) Â· f Z ( z ) = 1 2 Â· 1 3 ey/ 3 Â· 1 âˆš 2 Ï€ ez 2 / 2 = 1 âˆš 72 Ï€ e1 6 (2 y +3 z 2 ) for 0 â‰¤ x â‰¤ 2, y > 0, andâˆž < z < âˆž . 3. If X and Y are both discrete random variables, and their joint mass function is p X,Y ( x, y ), then F X,Y ( x, y ) = X x â‰¤ x X y â‰¤ y p X,Y ( x , y ) . If X and Y are both continuous random variables, and their joint density function is f X,Y ( x, y ), then F X,Y ( x, y ) = Z xâˆž Z yâˆž f X,Y ( u, v ) dv du....
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 Fall '08
 MichaelKozdron
 Probability, Probability distribution, probability density function, FY, joint density

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