bundles / scipy latest / scipy / stats / _multivariate / multivariate_normal_gen / _cdf
function
scipy.stats._multivariate:multivariate_normal_gen._cdf
Signature
def _cdf ( self , x , mean , cov , maxpts , abseps , releps , lower_limit , rng ) Summary
Multivariate normal cumulative distribution function.
Parameters
x: ndarrayPoints at which to evaluate the cumulative distribution function.
mean: ndarrayMean of the distribution
cov: array_likeCovariance matrix of the distribution
maxpts: integerThe maximum number of points to use for integration
abseps: floatAbsolute error tolerance
releps: floatRelative error tolerance
lower_limit: array_like, optionalLower limit of integration of the cumulative distribution function. Default is negative infinity. Must be broadcastable with
x.rng: Generatoran 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