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Let X and Y be continuous, with joint pdf: \[ f_{X,Y} = \begin{cases} 2, & \text{if 0 < x < 1, 0 < y < x} \\ 0, & \text{otherwise} \\ \end{cases} \] Let $Z = XY^3$. What is the pdf of Z?

I was thinking that maybe I could let W be another function of X and Y and finding the joint density of Z and W, then solving for the marginal density of Z.

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    I did understand that solution already. I'm not quite sure how to apply it to joint densities.2012-10-22

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The following approach is more lengthy than necessary, but uses only basic ideas. We show how to find the cumulative distribution function of $Z$. Then differentiation gives the density.

The joint density function of $X$ and $Y$ is $2$ in the interior of the triangle with corners $(0,0)$, $(1,0)$, and $(1,1)$, and $0$ elsewhere.

We want to find $\Pr(Z \le z)$. The only interesting part is for $0\lt z\le 1$.

To find this probability, we calculate $\iint_D f(x,y)\,dx\,dy,$ where $f(x,y)$ is the joint density, and $D$ is the region on or below the curve $xy^3=z$. For fixed $z$, draw that curve. It will meet the line $y=x$ at $x=z^{1/4}$.

Now our integral is the integral over the part of $D$ with $x\lt z^{1/4}$ (this is a triangle), plus the integral over the part of $D$ with $x$ going from $z^{1/4}$ to $1$.

The first integral is just $2$ times the area of the triangle with base $z^{1/4}$ and height $z^{1/4}$.

The second integral is more complicated. Integrate first with respect to $y$, with $y$ going from $0$ to $(z/x)^{1/3}$. This integral is simply $2(z/x)^{1/3}$. Then integrate from $x=z^{1/4}$ to $x=1$.

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    One can use joint characteristic functions. There have been a number of MSE entries. I remember in particular a nice exposition by did. But am lousy at searching MSE.2012-10-22