Interface | Description |
---|---|
RandomLongGenerator |
A (pseudo) random number generator that generates a sequence of
long s 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 | 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.)
is a basic method for pseudo-random number sampling,
i.e.
|
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.
|
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