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bundles / scipy latest / scipy / stats / _multivariate / multivariate_normal_gen / _cdf

function

scipy.stats._multivariate:multivariate_normal_gen._cdf

source: /scipy/stats/_multivariate.py :650

Signature

def   _cdf ( self x mean cov maxpts abseps releps lower_limit rng )

Summary

Multivariate normal cumulative distribution function.

Parameters

x : ndarray

Points at which to evaluate the cumulative distribution function.

mean : ndarray

Mean of the distribution

cov : array_like

Covariance matrix of the distribution

maxpts : integer

The maximum number of points to use for integration

abseps : float

Absolute error tolerance

releps : float

Relative error tolerance

lower_limit : array_like, optional

Lower limit of integration of the cumulative distribution function. Default is negative infinity. Must be broadcastable with x.

rng : Generator

an instance of np.random.Generator, which is used internally for QMC integration.

Notes

As this function does no argument checking, it should not be called directly; use 'cdf' instead.

Aliases

  • scipy.stats._multivariate.multivariate_normal_gen._cdf