`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

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