statsmodels.distributions.copula.api.GumbelCopula.rvs¶

GumbelCopula.rvs(nobs=1, args=(), random_state=None)[source]¶

Draw n in the half-open interval [0, 1).

Marginals are uniformly distributed.

Parameters:¶

nobs : int, optional¶: Number of samples to generate from the copula. Default is 1.
args : tuple¶: Arguments for copula parameters. The number of arguments depends on the copula.
random_state : {None, int, numpy.random.Generator}, optional¶: If seed is None then the legacy singleton NumPy generator. This will change after 0.13 to use a fresh NumPy Generator, so you should explicitly pass a seeded Generator if you need reproducible results. If seed is an int, a new Generator instance is used, seeded with seed. If seed is already a Generator instance then that instance is used.

Returns:¶

sample – Sample from the copula.

Return type:¶

array_like (nobs, d)