`scipy.stats._continuous_distns:weibull_max_gen`

source: /scipy/stats/_continuous_distns.py:2985

Signature

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

Members

_cdf
_entropy
_logcdf
_logpdf
_munp
_pdf
_ppf
_sf
_shape_info

Summary

Weibull maximum continuous random variable.

Extended Summary

The Weibull Maximum Extreme Value distribution, from extreme value theory (Fisher-Gnedenko theorem), is the limiting distribution of rescaled maximum of iid random variables. This is the distribution of -X if X is from the weibull_min function.

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Notes

The probability density function for weibull_max is:

f (x, c) = c (- x)^{c - 1} exp (- (- x)^{c})

for $x < 0$ , $c > 0$ .

weibull_max takes c as a shape parameter for $c$ .

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Aliases

scipy.stats._continuous_distns.weibull_max_gen