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Beemer

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[Sep. 23rd, 2005|01:57 pm]
Beemer
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?
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[User Picture]From: melted_snowball
2005-09-24 12:18 pm (UTC)
Well, I was already assuming (correctly, it appears) that his system was working based on some way of integrating who's already run into a number.
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[User Picture]From: dr_tectonic
2005-09-24 12:47 pm (UTC)
I'm actually debating whether to do it using a global "fraction evacuated" number or to do it using random encounters...

That's separate from the number of people you know personally who have evacuated, for which we need to make a simple model social network.
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