jimmy1
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A probability distribution,[tex]f(x)[/tex] ,can be represented as a generating function,[tex]G(n)[/tex], as [tex]\sum_{x} f(x) n^x[/tex]. The expectation of [tex]f(x)[/tex] can be got from [tex]G'(1)[/tex].
A bivariate generating function, [tex]G(m,n)[/tex] of the joint distribution [tex]f(x,y)[/tex] can be represented as [tex]\sum_{x} \sum_{y} f(x,y) n^x m^y[/tex].
Now my question is how can I get the expectation of [tex]f(x,y)[/tex] from the above generating function?
A bivariate generating function, [tex]G(m,n)[/tex] of the joint distribution [tex]f(x,y)[/tex] can be represented as [tex]\sum_{x} \sum_{y} f(x,y) n^x m^y[/tex].
Now my question is how can I get the expectation of [tex]f(x,y)[/tex] from the above generating function?