Interface | Description |
---|---|
ContinuousDistribution | |
DiscreteDistribution | |
Distribution |
Distribution
|
Class | Description |
---|---|
Binomial |
The frequency in aCount indepedent trials, each with probability aProbability, has a binomial distribution.
|
Cauchy |
https://en.wikipedia.org/wiki/Cauchy_distribution
|
Deterministic | |
Erlang |
Distribution of the sum of aCount random variables with an exponential distribution with parameter aLambda.
|
Exponential |
Distribution of length of life when no aging.
|
Gamma |
Distribution of the sum of aCount random variables with an exponential distribution with parameter aLambda.
|
Geometric |
The number of required trials until an event with probability aProbability occurs has a geometric
distribution.
|
LogNormal |
A continuous distribution in which the logarithm of a variable has a normal distribution.
|
Normal |
Under general conditions, the sum of a large number of random variables is approximately normally
distributed (the central limit theorem).
|
Normal1D | |
Poisson |
The Poisson distribution is a discrete probability distribution that expresses the probability of a given
number of events occurring in a fixed interval of time and/or space if these events occur with a known
average rate and independently of the time since the last event.
|
Random1D | |
RandomNumber |
RandomNumber
|
RandomUtils | Deprecated
v48
|
SampleSet | |
TDistribution | |
Uniform |
Certain waiting times.
|
Weibull |
Useful as length of life distribution in reliability theory.
|
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