| Class | Description |
|---|---|
| BernoulliDistribution |
This class models the Bernoulli distribution with a specified parameter.
|
| BetaDistribution |
This class is models the beta distribution with specified left and right parameters.
|
| BinomialDistribution |
This class models the binomial distribution with a specified number of trials and
probability of success.
|
| BinomialRandomNDistribution |
This class models the binomial distribution with a random number of trials.
|
| BirthdayDistribution |
This class models the distribution of the number of distinct sample values
when a sample of a specified size is chosen with replacement from a finite
population of a specified size.
|
| CauchyDistribution |
This class models the Cauchy distribution.
|
| ChiSquareDistribution |
This class defines the chi-square distribution with a specifed degrees of
freedom parameter.
|
| CircleDistribution |
This class models the crcle distribution with a specified radius.
|
| ContinuousUniformDistribution |
This class models the uniform distribution on a specified interval.
|
| ConvolutionDistribution |
This class creates covolution of a given distribution to a given power.
|
| CouponDistribution |
This class models the distribution of the sample size needed to get a specified number
of distinct sample values when sampling with replacement from a finite population of
a specified size.
|
| Data |
This class models a simple implementation of a data distribution.
|
| DieDistribution |
This class models the distribution for a standard 6-sided die.
|
| DiscreteArcsineDistribution |
This class models the discrete arcsine distribution.
|
| DiscreteUniformDistribution |
This class models the discrete uniform distribution on a finite set.
|
| Distribution |
This class models an abstract implmentation of a real probability distribution.
|
| Domain |
This class defines a partition of an interval into subintervals of equal width.
|
| ExponentialDistribution |
This class defines the standard exponential distribution with a specified rate parameter.
|
| ExtremeValueDistribution |
This class models the exponential-type extreme value distribution.
|
| FiniteDistribution |
This class models a basic discrete distribution on a finite set of points,
with specified probabilities.
|
| FiniteOrderStatisticDistribution |
This class models the distribution of an order statistic for a sample
chosen without replacement from {1, 2..., N} .
|
| FisherDistribution |
This class models the Fisher F distribution with a spcified number of
degrees of freedom in the numerator and denominator.
|
| Functions |
This class defines a collection of static functions that are useful in
probability.
|
| GammaDistribution |
This class models the gamma distribution with a specified shape parameter and scale
parameter.
|
| GeometricDistribution |
This class models the geometric distribution with a given success probability.
|
| HypergeometricDistribution |
This class models the hypergeometric distribution with a specified population size,
sample size, and number of type 1 objects.
|
| IntervalData |
This class defines a simple implementation of an interval data distribution.
|
| LocationScaleDistribution |
This class applies a location-scale tranformation to a given distribution.
|
| LogisticDistribution |
This class models the logistic distribution.
|
| LogNormalDistribution |
This class models the lognormal distribution with specified parameters.
|
| MatchDistribution |
This class models the distribution of the number of matches in a random
permutation.
|
| MixtureDistribution |
This class models a distributions which is the mixture of a given set of
distributions using a given set of probabilities as the mixing parameters
|
| NegativeBinomialDistribution |
This class models the negative binomial distribution with specified successes
parameter and probability parameter.
|
| NormalDistribution |
This class encapsulates the normal distribution with specified parameters.
|
| OrderStatisticDistribution |
This class models the distribution of the order statistic of a specified order from a
random sample of a specified size from a specified sampling distribution.
|
| ParetoDistribution |
This class models the Pareto distribution with a specified parameter.
|
| PoissonDistribution |
The class models the Poisson distribution with a specified rate parameter.
|
| RandomVariable |
This class models a random variable in terms of a distribution and an
interval dataset.
|
| StudentDistribution |
This class models the student t distribution with a specifed degrees of freeom
parameter.
|
| TriangleDistribution |
This class models the triangle distribution on a specified interval.
|
| WalkMaxDistribution |
This class models the distribution of the maximum value of a symmetric random walk on the interval
[0, n].
|
| WalkPositionDistribution |
This class models the distribution of the position at time n for a random walk
on the interval [0, n].
|
| WeibullDistribution |
This class models the Weibull distribution with specified shape and scale
parameters.
|