See: Description
| Interface | Description |
|---|---|
| ContinuousDistribution |
Interface defining all continuous distribution classes.
|
| ContinuousMultivariateDistribution |
Interface defining all distribution classes.
|
| DiscreteDistribution |
Interface defining all continuous distribution classes.
|
| Class | Description |
|---|---|
| HypergeometricDistribution |
The hypergeometric distribution applies to sampling without replacement from a finite population whose elements can
be classified into two mutually exclusive categories like Pass/Fail.
|
| IntegerDistribution |
A simple class for defining custom distributions.
|
| MultinomialDistribution |
Defines the Multinomial distribution with parameters numSamples and probabilities1,
...,probabilitiesd.
|
| MultivariateNormalDistribution |
Sample from a Multivariate Normal (Gaussian) Distribution, a generalization of the one-dimensional (univariate)
normal distribution to higher dimensions.
|
| Normal |
Sample fro a Normal (Gaussian) Distribution.
|
| TruncatedMultivariateNormalDistribution |
Sample from a truncated Multivariate Normal (Gaussian) Distribution, i.e.
|
| TruncatedNormalDistribution |
An implementation of the truncated normal distribution, i.e.
|

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