I'm actually an engineering student so I'm not too good with probability and was hoping someone may be able to help with the following:
So I have a ratio of discrete random variables. I want to be able to know when I can get away with approximating its expected value as a ratio of expected values. For example, for the continuous case I came across the following formulation from a Taylor series expansion
$\text{E}[x/y]=\text{E}[x]/ \text{E}[y]- \text{Cov}[x ,y]/ \text{E}[y]^2 + \text{E}[x] \text{Var}[y]/ \text{E}[y]^3$
Does this apply for discrete random variables? if not, what is its analogous expression?
thank you! hadi