Is there any special technique to deal with the distribution of sum of two random variables where they are not independent?
For example I have concluded that if $X =_p W$ and $Y=_pZ$ ($=_p$ means having same distribution) then these two sum must be equal
$\ \int_{t}P({X+Y< t
But I don't know how to do it technically. It seems to be true by intuition!