aub_htp.alpha_stable_gen

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

Bases: rv_continuous

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

Methods

__init__([momtype, a, b, xtol, badvalue, ...])
cdf(x, *args, **kwds)	Cumulative distribution function of the given RV.
entropy(*args, **kwds)	Differential entropy of the RV.
expect([func, args, loc, scale, lb, ub, ...])	Calculate expected value of a function with respect to the distribution by numerical integration.
fit(data, *args, **kwds)	Return estimates of shape (if applicable), location, and scale parameters from data.
fit_loc_scale(data, *args)	Estimate loc and scale parameters from data using 1st and 2nd moments.
freeze(*args, **kwds)	Freeze the distribution for the given arguments.
interval(confidence, *args, **kwds)	Confidence interval with equal areas around the median.
isf(q, *args, **kwds)	Inverse survival function (inverse of sf) at q of the given RV.
logcdf(x, *args, **kwds)	Log of the cumulative distribution function at x of the given RV.
logpdf(x, *args, **kwds)	Log of the probability density function at x of the given RV.
logsf(x, *args, **kwds)	Log of the survival function of the given RV.
mean(*args, **kwds)	Mean of the distribution.
median(*args, **kwds)	Median of the distribution.
moment(order, *args, **kwds)	non-central moment of distribution of specified order.
nnlf(theta, x)	Negative loglikelihood function.
pdf(x, *args, **kwds)	Probability density function at x of the given RV.
ppf(q, *args, **kwds)	Percent point function (inverse of cdf) at q of the given RV.
rvs(*args, **kwds)	Random variates of given type.
sf(x, *args, **kwds)	Survival function (1 - cdf) at x of the given RV.
stats(*args, **kwds)	Some statistics of the given RV.
std(*args, **kwds)	Standard deviation of the distribution.
support(*args, **kwargs)	Support of the distribution.
var(*args, **kwds)	Variance of the distribution.
with_parametrization(parametrization)

Attributes

parameterization
random_state	Get or set the generator object for generating random variates.

property parameterization

pdf(x, *args, **kwds)

Probability density function at x of the given RV.

Parameters

xarray_like

quantiles

arg1, arg2, arg3,…array_like

The shape parameter(s) for the distribution (see docstring of the instance object for more information)

locarray_like, optional

location parameter (default=0)

scalearray_like, optional

scale parameter (default=1)

Returns

pdfndarray

Probability density function evaluated at x

rvs(*args, **kwds)

Random variates of given type.

Parameters

arg1, arg2, arg3,…array_like

The shape parameter(s) for the distribution (see docstring of the instance object for more information).

locarray_like, optional

Location parameter (default=0).

scalearray_like, optional

Scale parameter (default=1).

sizeint or tuple of ints, optional

Defining number of random variates (default is 1).

random_state{None, int, numpy.random.Generator,

numpy.random.RandomState}, optional

If random_state is None (or np.random), the numpy.random.RandomState singleton is used. If random_state is an int, a new RandomState instance is used, seeded with random_state. If random_state is already a Generator or RandomState instance, that instance is used.

Returns

rvsndarray or scalar

Random variates of given size.

with_parametrization(parametrization: Literal['S1', 'S0'])