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[Sep. 23rd, 2005|01:57 pm]
A random question for people with science leanings:

I need a probability distribution, but its shape isn't really known. That inclines me to use a gaussian as a generic, because most things are gaussian.

However, it can't produce negative values. What would you use?

Truncate the gaussian below zero? Fold negative values back to positive? Something like a chi-square distribution that looks gaussian once the mean is far from zero?

[User Picture]From: melted_snowball
2005-09-23 04:55 pm (UTC)
There's a few decent handbooks on basic distributions that are a sensible thing to have on your shelf. I don't have any of them (I have a mathematical statistics book), but getting one of them is sensible.
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