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Class Summary |
| AndersonDarlingDistribution |
This class defines the Anderson-Darling distribution with a specifed parameter n>=1. |
| ArcSineDistribution |
This class models the Arc-Sine distribution on a specified interval. |
| BenfordDistribution |
This class models the Benford distribution with parameters m
(population size), n (sample size), and r (number of type 1 objects). |
| BernoulliDistribution |
The Bernoulli distribution with parameter p
http://mathworld.wolfram.com/BernoulliDistribution.html . |
| BetaBinomialDistribution |
The binomial distribution with specified parameters: the number of trials (n)
and the probability of success (p)
http://mathworld.wolfram.com/BetaBinomialDistribution.html . |
| BetaDistribution |
A Java implmentation of the beta distribution with specified left(alpha) and
right(beta) parameters
http://mathworld.wolfram.com/BetaDistribution.html . |
| BetaGeneralDistribution |
A Java implmentation of the (General) Beta Distribution with specified:
left(alpha) and right(beta) parameters AND LIMITS A and B. |
| BinomialDistribution |
The binomial distribution with specified parameters: the number of trials (n)
and the probability of success (p)
http://mathworld.wolfram.com/BinomialDistribution.html . |
| BinomialRandomNDistribution |
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 |
| ChiDistribution |
This class defines the Chi distribution with a specifed degrees of
freedom. |
| ChiSquareDistribution |
This class defines the chi-square distribution with a specifed degrees of
freedom. |
| CircleDistribution |
This class models the Circle distribution with parameter a (radius). |
| ContinuousUniformDistribution |
This class models the uniform distribution on a specified interval. |
| Convolution |
This class creates the n-fold convolution of a given distribution |
| 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:
http://www.math.uah.edu/stat/urn/Coupon.xhtml |
| DieDistribution |
Distribution for a standard 6-sided die |
| DiscreteArcsineDistribution |
This class models the discrete ArcSine distribution that governs the last
zero in a symmetric random walk on an interval. |
| DiscreteUniformDistribution |
The discrete uniform distribution on a finite set. |
| Domain |
This class defines a partition of an interval into subintervals of equal
width. |
| ErlangDistribution |
A Java implmentation of the Erlang distribution with specified Scale (scale) and
shape (shape) parameters
http://mathworld.wolfram.com/ErlangDistribution.html . |
| ErrorDistribution |
A Java implementation of the Error distribution with specified Location, Scale and
Shape parameters
http://en.wikipedia.org/wiki/Exponential_power_distribution. |
| ExponentialDistribution |
This class defines the (general) Exponential distribution with rate parameter
r and shift parameter s. |
| FiniteDistribution |
A basic discrete distribution on a finite set of points, with specified
probabilities |
| FiniteOrderStatisticDistribution |
This class models the distribution of the k'th order statistic for a sample
of size n 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. |
| FisherTippettDistribution |
A Java implmentation of the FisherTippettdistribution with specified alpha &
beta parameters
http://mathworld.wolfram.com/FisherTippettDistribution.html . |
| Functions |
|
| GammaDistribution |
Gamma distribution with a specified shape parameter and scale parameter. |
| GeneralCauchyDistribution |
A Java implmentation of the General Cauchy distribution with specified alpha &
beta parameters. |
| GeneralizedExtremeValueDistribution |
This class models the Generalized-Extreme-Value (GEV) Distribution with specified 3 parameters
(location, scale, shape):
The generalized extreme value distribution (GEV) is a family of continuous probability distributions
developed within extreme value theory to combine the Gumbel, FrEchet and Weibull families
also known as type I, II and III extreme value distributions. |
| GeometricDistribution |
The geometric distribution with parameter p. |
| GilbratsDistribution |
This class models the Gilbrat's distribution: A continuous distribution in
which the logarithm of a variable x has a Standard Normal distribution. |
| GompertzDistribution |
Gompertz distribution with a specified shape parameter and scale parameter. |
| GumbelDistribution |
A Java implmentation of the Gumbel distribution with specified alpha & beta
parameters
http://mathworld.wolfram.com/GumbelDistribution.html . |
| HalfNormalDistribution |
This class models the Half-Normal distribution with specified starting and SD
parameters. |
| HyperbolicSecantDistribution |
This class encapsulates the Hyperbolic-Secant distribution -- no parameters. |
| HypergeometricDistribution |
This class models the HyperGeometric distribution with parameters m
(population size), n (sample size), and r (number of type 1 objects). |
| IntervalData |
This class defines a simple implementation of an interval data distribution. |
| InverseGammaDistribution |
Gamma distribution with a specified shape parameter and scale parameter. |
| InverseGaussianDistribution |
This class encapsulates the normal distribution with specified (mean, SD)
parameters. |
| JohnsonSBDistribution |
This class models the Johnson SB (Special Bounded) distribution with specified first 4 parameters
(mean, SD, skewness, kurtosis):
The Johnson family of distributions (N.L. |
| JohnsonSUDistribution |
This class models the Johnson SU (Special Unbounded) distribution with specified first 4 parameters
(mean, SD, skewness, kurtosis):
The Johnson family of distributions (N.L. |
| KolmogorovDistribution |
This class defines the Kolmogorov distribution with a specifed parameter n>=1. |
| LaplaceDistribution |
This class defines the Laplace distribution with parameters mu & beta. |
| LocationScaleDistribution |
This class applies a location-scale tranformation to a given distribution. |
| LogarithmicSeriesDistribution |
A Java implmentation of the LogarithmicSeries distribution with specified
shape (shape) parameters
http://en.wikipedia.org/wiki/Logarithmic_distribution . |
| LogisticDistribution |
This class models the logistic distribution |
| LogisticExponentialDistribution |
This class models the LogisticExponential distribution
http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/lexpdf.htm |
| LogNormalDistribution |
This class models the lognormal distribution with specified (mean & SD)
parameters. |
| LomaxDistribution |
This class models the Lomax distribution (Pareto-distribution of hte second-kind)
with a specified parameters (alpha=shape1; gamma=shape2). |
| MatchDistribution |
The distribution of the number of matches in a random permutation |
| MaxwellDistribution |
This class models the Maxwell distribution with parameter a. |
| MinimaxDistribution |
A Java implmentation of the Minimax distribution with specified left(alpha) and
right(Minimax) parameters
http://mathworld.wolfram.com/topics/ContinuousDistributions.html . |
| MixtureDistribution |
The Mixture distribution with parameter-vector p=(p1, p2, ..., pn)
http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture is the
(linear) mixure of an array of distributions according to the mixing
parameters. |
| MultiNomialDistribution |
The Multinomial distribution with parameter-vector (k,p), where n=number of trials and event-probabilities
p=(p1, p2, ..., pn), with sum(p_k)=1 and p_k>=0, 1<=k<=n. |
| MuthDistribution |
A Java implmentation of the Muth distribution with specified left(alpha) and
right(Muth) parameters
http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/mutpdf.htm . |
| NegativeBinomialDistribution |
This class models the negative binomial distribution with specified successes
parameter and probability parameter. |
| NegativeHypergeometricDistribution |
This class models the NegativeHypergeometric distribution with parameters B
(population size), b (sample size), and w (number of special-type 1 objects). |
| NegativeMultiNomialDistribution |
The Negative-Multinomial distribution with parameter-vector (x_o,p),
where gamma = x_o>=0, and p=(p_1,0, p_r). |
| NonCentralChiSquareDistribution |
This class encapsulates the Non-Central Chi-Square distribution with specified:
k > 0\, degrees of freedom, and \lambda > 0, non-centrality parameters
parameters. |
| NormalDistribution |
This class encapsulates the normal distribution with specified (mean, SD)
parameters. |
| NormalTruncatedDistribution |
This class encapsulates the Truncated Normal distribution with specified parameters:
(mean, SD, leftSupportLimit, rightSupportLimit)
http://en.wikipedia.org/wiki/Truncated_normal_distribution . |
| OrderStatisticDistribution |
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 parameters
(alpha=power; theta=LeftStart). |
| PointMassDistribution |
Point mass at x0. |
| PoissonDistribution |
A Java implementation of the Poisson distribution with specified Shift and
Mean parameters
http://en.wikipedia.org/wiki/Poisson_distribution. |
| PokerDiceDistribution |
|
| PowerFunctionDistribution |
A Java implementation of the PowerFunction distribution with specified Location, Scale and
Shape parameters
http://www.mathwave.com/articles/power_function_distribution.html. |
| RandomVariable |
|
| RayleighDistribution |
A Java implmentation of the Rayleigh distribution with specified alpha & beta
parameters
http://mathworld.wolfram.com/RayleighDistribution.html |
| RiceDistribution |
This class models the Rice (Rician) distribution. |
| StudentDistribution |
This class models the Student T distribution with a specifed degrees of
freedom parameter. |
| TriangleDistribution |
This class models the Triangular distribution on a specified interval. |
| TwoSidedPowerDistribution |
A Java implementation of the (Two-Sided POwer (TSP) Distribution with specified:
left, right, mean and power parameters
http://www.springerlink.com/content/u71g0104356x70u1/ . |
| UQuadraticDistribution |
This class models the Quadratic U distribution on a specified interval. |
| VonMisesDistribution |
This class models the Von-Mises (Circular Gaussian) distribution on [-Pi; Pi]. |
| WalkMaxDistribution |
This class models the distribution of the maximum value of a symmetric random
walk on the interval [0, n]. |
| WalkPositionDistribution |
|
| WeibullDistribution |
This class models the Weibull distribution with specified shape and scale
parameters. |
| ZipfMandelbrotDistribution |
This class models the Zipf-Mandelbrot distribution with parameters
N be the number of elements;
k be their rank (the value of the random-variable!);
w be the value of the power-exponent characterizing the distribution;
q be the (rank-)shift [0, \infty)
http://en.wikipedia.org/wiki/Zipf-Mandelbrot_law . |