4.3.1.1.4. statsmodels.duration.hazard_regression.rv_discrete_float

class statsmodels.duration.hazard_regression.rv_discrete_float(xk, pk)

A class representing a collection of discrete distributions.

Parameters:

xk : 2d array-like

The support points, should be non-decreasing within each row.

pk : 2d array-like

The probabilities, should sum to one within each row.

Notes

Each row of xk, and the corresponding row of pk describe a discrete distribution.

xk and pk should both be two-dimensional ndarrays. Each row of pk should sum to 1.

This class is used as a substitute for scipy.distributions. rv_discrete, since that class does not allow non-integer support points, or vectorized operations.

Only a limited number of methods are implemented here compared to the other scipy distribution classes.

__init__(xk, pk)

4.3.1.1.4.1. Methods

__init__(xk, pk)
mean()	Returns a vector containing the mean values of the discrete distributions.
rvs()	Returns a random sample from the discrete distribution.
std()	Returns a vector containing the standard deviations of the discrete distributions.
var()	Returns a vector containing the variances of the discrete distributions.