Math::Vector::Real::MultiNormalMixture generates density functions which may suit the OP case and that can also be randomly parametrized.

Anyway, one problem with this approach is that the ratio of a discarded points could be too high.

In that case, a more efficient way may be to divide the plane in regions (i.e. triangles), calculate the probability of every region and then generate the random points first picking a region and then a point inside the region with your proposed algorithm using the conditioned density function.

In reply to Re^2: Randomly biased, random numbers. by salva
in thread Randomly biased, random numbers. by BrowserUk

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