Finding Probability Distribution Parameters Satisfying a Particular Condition

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Condition: $$E[\text{max}(X,Y)] \leq E[\text{max}(K,Y)]$$

Here, $X,Y$ are random variables. $K$ is a constant. The distribution for $Y$ is known.

Question one:

Is it possible to find the distribution parameters for $X$ satisfying the above condition?

Question two:

Is it possible to find the distribution parameters for $X$ satisfying the above condition when $X,Y$ are non negative random variables and $K \geq 0$ ?

Clarifications:

Please note,

1) $X,Y$ can follow any probability distribution in the above two questions.

2) So the problem comes down to assuming a particular distribution for $X$ and finding the parameters of the distribution satisfying the above condition.

3) We can make other simplifying assumptions if required, such as $X$, $Y$ are independent.

Special Case Related Question:

Please note, the special case of finding the maximum of two independent log normally distributed random variables, which is required for a part of the answer for this present question, is considered here: Expected Value of Maximum of Two Lognormal Random Variables