An application of the matrix volume in probability Original Research Article

Given an n-dimensional random variable X with a joint density fX(x1,…,xn), the density of Y=h(X) is computed as a surface integral of fX in two cases: (a) h linear, and (b) h sum of squares. The integrals use the volume of the Jacobian matrix in a change-of-variables formula.