`scipy.stats._multivariate:multivariate_hypergeom_gen.logpmf`

source: /scipy/stats/_multivariate.py :5854

Signature

def logpmf ( self , x , m , n )

Summary

Log of the multivariate hypergeometric probability mass function.

Parameters

x : array_like: Quantiles, with the last axis of x denoting the components.
m : array_like: The number of each type of object in the population. That is, $m [i]$ is the number of objects of type $i$ .
n : array_like: The number of samples taken from the population.

Returns

logpmf : ndarray or scalar: Log of the probability mass function evaluated at x

Notes

m must be an array of positive integers. If the quantile $i$ contains values out of the range $[0, m_{i}]$ where $m_{i}$ is the number of objects of type $i$ in the population or if the parameters are inconsistent with one another (e.g. x.sum() != n), methods return the appropriate value (e.g. 0 for pmf). If m or n contain negative values, the result will contain nan there.

Aliases

scipy.stats._multivariate.multivariate_hypergeom_gen.logpmf