[Numpy-discussion] 8 Real Distributions

[Michael Lance]

Hi Ralf,

These are functions that generate data sets when invoked, like Numpy
already does with mathematical distributions.




On Sat, Jan 18, 2020, 12:32 PM Ralf Gommers <ralf.gommers at gmail.com> wrote:

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