[Numpy-discussion] 8 Real Distributions
michael.lance at gmail.com
Thu Jan 16 21:46:17 EST 2020
I think this could be a useful contribution to NumPy, but I want to get
feedback on where it should go (either in NumPy or elsewhere).
I have functions using numpy.random which invoke the 8 "Real" data sets as
estimated by Ted Micceri in 1989. These can be useful in Monte Carlo
Parametric inferential statistics generally assume normal distributions
(though kurtosis presents less of an issue than skew). However, in
"nature", distributions are often not normal. In 1989, Ted Micceri's study (
http://psycnet.apa.org/record/1989-14214-001) on real data sets resulted in
the estimation of 8 "Real" distributions. Using these distributions in
simulations help to produce more realistic types I and II error rate and
power estimates, particularly for smaller samples.
A similar module is currently available in Fortran called realpops.
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