I suspect that there was originally the idea of using a normal distribution, but then the switch to a flat distribution was done because of boundaries at 0 and 100.

An alternative would be to use a bounded probability distribution like the Beta distribution or the Kumaraswamy distribution.

I keep meaning to implement Kumaraswamy in Math::Random::OO one of these days. (Right after I fix it to use Math::Random::MT::Auto as the underlying generator and recode other transformations in XS.)

-xdg

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In reply to Re^2: Need technique for generating constrained random data sets by xdg
in thread Need technique for generating constrained random data sets by GrandFather

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