[FoRK] Re: [email@example.com: Physics News Update 765]
Robert Harley <
robert.harley at gmail.com
> on >
Fri Mar 10 16:47:54 PST 2006
*>[...] Sure, gaussian normal distributions are common, but there's no
reason why lack of one implies any underhandedness.
> "Everybody firmly believes in [the central limit theorem] because the
mathematicians imagine it is a fact of observation, and observers that it is
a theory of mathematics" -- Poincare
Gaussian distributions are the best way to model generic movements 99% of
the time but everyone agrees that heavy-tailed (Student-T, Chi^2...)
distributions and jumpy processes (generalized hyperbolic, normal inverse
gaussian...) are the way to go for the 1% of the time that 3+ sigma events
happen that "shouldn't".
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