Deriving Distributions and Covariance from Joint Moment Generating Function

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Q: Suppose random variables and have joint moment generating function:

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What are the distributions for X and Y and their covariance, Cov[X,Y]?

I am unsure how to derive the individual distributions when given just the moment generating function. Also, I am unsure how to derive the individual distributions when it is not known whether X and Y are independent/dependent random variables.

Would really appreciate it if someone can provide an answer to the question and how to evaluate the covariance. Thank you for your help in advance.

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When $M_{X,Y} (s,t)$ splits as a product of a function of $s$ and a function of $t$ it follows that $X$and $Y$ are independent. Also, $M_X (s)=\frac 1 {2-s}$ and $M_Y(t)=(\frac 2 3 )^{4}(\frac 3 {3-t})^{4}$. By independence the covariance is $0$. I will let you write down the distributions of $X$ and $Y$.