statsmodels.distributions.bernstein.BernsteinDistribution.rvs#
- BernsteinDistribution.rvs(nobs, rng=None)[source]#
Generate random numbers from distribution.
- Parameters:
- nobs
int Number of random observations to generate.
- rng{
None,int, array_like[int],numpy.random.Generator,numpy.random.RandomState},optional If rng is None, a new
Generatoris created using fresh entropy from the operating system. If rng is an int or array of ints, a newGeneratoris created, seeded with rng. If rng is already aGeneratororRandomStateinstance, that instance is used.- random_state{
None,int, array_like[int],numpy.random.Generator,numpy.random.RandomState},optional Deprecated since version 0.15: random_state has been deprecated. In-line with SPEC-007, use rng for passing a random number generator or seed.
- nobs