`scipy.stats._continuous_distns:powerlognorm_gen`

source: /scipy/stats/_continuous_distns.py :8879

Signature

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

Members

_cdf
_isf
_logpdf
_logsf
_pdf
_ppf
_sf
_shape_info

Summary

A power log-normal continuous random variable.

Extended Summary

%(before_notes)s

Notes

The probability density function for powerlognorm is:

f (x, c, s) = \frac{c}{x s} ϕ (lo g (x) / s) (Φ (- lo g (x) / s))^{c - 1}

where $ϕ$ is the normal pdf, and $Φ$ is the normal cdf, and $x > 0$ , $s, c > 0$ .

powerlognorm takes $c$ and $s$ as shape parameters.

%(after_notes)s

%(example)s

Aliases

scipy.stats._continuous_distns.powerlognorm_gen