Multinomial distribution having probability mass function
f(x) = \dfrac{n!}{x_1!\dots x_k!}p_1^{x_1}\dots p_k^{x_k}
for x=\{x_1,\dots,x_k\} where each x_i is a non-negative integer and \sum_i x_i = n.
The :class:`.Multinomial` class is imported using the following command:
>>> from UQpy.distributions.collection.Multinomial import Multinomial
.. autoclass:: UQpy.distributions.collection.Multinomial :members:
The following methods are available for :class:`.Multinomial`:
:py:meth:`pmf`, :py:meth:`log_pmf`, :py:meth:`rvs`, :py:meth:`moments` .
Multivariate normal distribution having probability density function
f(x) = \dfrac{1}{\sqrt{(2\pi)^k\det\Sigma}}\exp{-\dfrac{1}{2}(x-\mu)^T\Sigma^{-1}(x-\mu)}
where \mu is the mean vector, \Sigma is the covariance matrix, and k is the dimension of x.
The :class:`.MultivariateNormal` class is imported using the following command:
>>> from UQpy.distributions.collection.MultivariateNormal import MultivariateNormal
.. autoclass:: UQpy.distributions.collection.MultivariateNormal :members:
The following methods are available for :class:`.MultivariateNormal` :
:py:meth:`pdf`, :py:meth:`log_pdf`, :py:meth:`rvs`, :py:meth:`fit`, :py:meth:`moments`.