Package org.jscience.mathematics.statistics

Class Summary

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.
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 implementation of a real probability distribution.
DistributionDomain	This class defines a partition of an interval into subintervals of equal width.
EngineerMathUtils	This class is dedicated to engineering methods applied to arrays including signal processing.
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.
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.
KarhunenLoeve	This class implements the Karhunen-Loeve expansion.
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.
NumericalData	This class models a simple implementation of a data distribution.
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.
StatisticsUtils	This class defines a collection of static functions that are useful in probability.
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.