Package dev.nm.stat.random.rng.univariate

Interface Summary

Interface	Description
RandomLongGenerator	A (pseudo) random number generator that generates a sequence of longs that lack any pattern and are uniformly distributed.
RandomNumberGenerator	A (pseudo) random number generator is an algorithm designed to generate a sequence of numbers that lack any pattern.

Class Summary

Class	Description
BernoulliTrial	A Bernoulli trial (or binomial trial) is a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success, p, is the same every time the experiment is conducted.
BinomialRNG	This random number generator samples from the binomial distribution.
BurnInRNG	A burn-in random number generator discards the first M samples.
InverseTransformSampling	Inverse transform sampling (also known as inversion sampling, the inverse probability integral transform, the inverse transformation method, Smirnov transform, golden rule, etc.)
LogNormalRNG	This random number generator samples from the log-normal distribution.
RayleighRNG	This random number generator samples from the Rayleigh distribution using the inverse transform sampling method.
ThinRNG	Thinning is a scheme that returns every m-th item, discarding the last m-1 items for each draw.
WeibullRNG	This random number generator samples from the Weibull distribution using the inverse transform sampling method.