`scipy.stats._continuous_distns:skewnorm_gen`

source: /scipy/stats/_continuous_distns.py:9724

Signature

class skewnorm_gen(momtype = 1, a = None, b = None, xtol = 1e-14, badvalue = None, name = None, longname = None, shapes = None, seed = None)

Members

_argcheck
_cdf
_isf
_logpdf
_munp
_pdf
_ppf
_rvs
_sf
_shape_info
_stats
fit

Summary

A skew-normal random variable.

Extended Summary

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Notes

The pdf is

skewnorm.pdf(x, a) = 2 * norm.pdf(x) * norm.cdf(a*x)

skewnorm takes a real number $a$ as a skewness parameter When a = 0 the distribution is identical to a normal distribution (norm). rvs implements the method of ^[1].

This distribution uses routines from the Boost Math C++ library for the computation of cdf, ppf and isf methods. ^[2]

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Aliases

scipy.stats._continuous_distns.skewnorm_gen