`scipy.stats._continuous_distns:powerlognorm_gen`

Signature

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

A power log-normal continuous random variable.

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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.

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