bundles / scipy 1.17.1 / scipy / stats / _continuous_distns / johnsonsu_gen

class

`scipy.stats._continuous_distns:johnsonsu_gen`

source: /scipy/stats/_continuous_distns.py:5850

Signature

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

Members

Summary

A Johnson SU continuous random variable.

Extended Summary

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Notes

The probability density function for johnsonsu is:

f (x, a, b) = \frac{b}{x ^{2} + 1} ϕ (a + b lo g (x + x^{2} + 1))

where $x$ , $a$ , and $b$ are real scalars; $b > 0$ . $ϕ$ is the pdf of the normal distribution.

johnsonsu takes $a$ and $b$ as shape parameters.

The first four central moments are calculated according to the formulas in ^[1].

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See also

johnsonsb

Aliases

scipy.stats._continuous_distns.johnsonsu_gen