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.