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