[Numpy-discussion] 8 Real Distributions

Ralf Gommers ralf.gommers at gmail.com
Sat Jan 18 12:31:24 EST 2020

On Fri, Jan 17, 2020 at 3:46 AM Michael Lance <michael.lance at gmail.com>

> 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
> simulations.

Thanks for the suggestion Michael. This seems too specialized for NumPy.
Also, it's not 100% clear whether you want to add functions or data sets;
NumPy doesn't want to ship any data sets. It sounds to me like these would
be best in their own package.


> Background info:
> 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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