jimmy1
- 60
- 0
A probability distribution,f(x) ,can be represented as a generating function,G(n), as \sum_{x} f(x) n^x. The expectation of f(x) can be got from G'(1).
A bivariate generating function, G(m,n) of the joint distribution f(x,y) can be represented as \sum_{x} \sum_{y} f(x,y) n^x m^y.
Now my question is how can I get the expectation of f(x,y) from the above generating function?
A bivariate generating function, G(m,n) of the joint distribution f(x,y) can be represented as \sum_{x} \sum_{y} f(x,y) n^x m^y.
Now my question is how can I get the expectation of f(x,y) from the above generating function?