Class | Description |
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AndersonDarlingDistribution |
This class defines the Anderson-Darling distribution with a specifed parameter n>=1.
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ArcSineDistribution |
This class models the Arc-Sine distribution on a specified interval.
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BenfordDistribution |
This class models the Benford distribution with parameters m
(population size), n (sample size), and r (number of type 1 objects).
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BernoulliDistribution |
The Bernoulli distribution with parameter p
http://mathworld.wolfram.com/BernoulliDistribution.html .
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BetaBinomialDistribution |
The binomial distribution with specified parameters: the number of trials (n)
and the probability of success (p)
http://mathworld.wolfram.com/BetaBinomialDistribution.html .
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BetaDistribution |
A Java implmentation of the beta distribution with specified left(alpha) and
right(beta) parameters
http://mathworld.wolfram.com/BetaDistribution.html .
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BetaGeneralDistribution |
A Java implmentation of the (General) Beta Distribution with specified:
left(alpha) and right(beta) parameters AND LIMITS A and B.
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BinomialDistribution |
The binomial distribution with specified parameters: the number of trials (n)
and the probability of success (p)
http://mathworld.wolfram.com/BinomialDistribution.html .
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BinomialRandomNDistribution |
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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ChiDistribution |
This class defines the Chi distribution with a specifed degrees of
freedom.
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ChiSquareDistribution |
This class defines the chi-square distribution with a specifed degrees of
freedom.
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CircleDistribution |
This class models the Circle distribution with parameter a (radius).
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ContinuousUniformDistribution |
This class models the uniform distribution on a specified interval.
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Convolution |
This class creates the n-fold convolution of a given distribution
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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:
http://www.math.uah.edu/stat/urn/Coupon.xhtml
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DieDistribution |
Distribution for a standard 6-sided die
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DiscreteArcsineDistribution |
This class models the discrete ArcSine distribution that governs the last
zero in a symmetric random walk on an interval.
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DiscreteUniformDistribution |
The discrete uniform distribution on a finite set.
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Domain |
This class defines a partition of an interval into subintervals of equal
width.
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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.
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ExponentialDistribution |
This class defines the (general) Exponential distribution with rate parameter
r and shift parameter s.
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FiniteDistribution |
A basic discrete distribution on a finite set of points, with specified
probabilities
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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} .
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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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FisherTippettDistribution |
A Java implmentation of the FisherTippettdistribution with specified alpha &
beta parameters
http://mathworld.wolfram.com/FisherTippettDistribution.html .
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Functions | |
GammaDistribution |
Gamma distribution with a specified shape parameter and scale parameter.
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GeneralCauchyDistribution |
A Java implmentation of the General Cauchy distribution with specified alpha &
beta parameters.
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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, Fréchet and Weibull families
also known as type I, II and III extreme value distributions.
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GeometricDistribution |
The geometric distribution with parameter p.
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GilbratsDistribution |
This class models the Gilbrat's distribution: A continuous distribution in
which the logarithm of a variable x has a Standard Normal distribution.
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GompertzDistribution |
Gompertz distribution with a specified shape parameter and scale parameter.
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GumbelDistribution |
A Java implmentation of the Gumbel distribution with specified alpha & beta
parameters
http://mathworld.wolfram.com/GumbelDistribution.html .
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HalfNormalDistribution |
This class models the Half-Normal distribution with specified starting and SD
parameters.
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HyperbolicSecantDistribution |
This class encapsulates the Hyperbolic-Secant distribution -- no parameters.
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HypergeometricDistribution |
This class models the HyperGeometric distribution with parameters m
(population size), n (sample size), and r (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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InverseGammaDistribution |
Gamma distribution with a specified shape parameter and scale parameter.
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InverseGaussianDistribution |
This class encapsulates the normal distribution with specified (mean, SD)
parameters.
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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.
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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.
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KolmogorovDistribution |
This class defines the Kolmogorov distribution with a specifed parameter n>=1.
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LaplaceDistribution |
This class defines the Laplace distribution with parameters mu & beta.
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LocationScaleDistribution |
This class applies a location-scale tranformation to a given distribution.
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LogarithmicSeriesDistribution |
A Java implmentation of the LogarithmicSeries distribution with specified
shape (shape) parameters
http://en.wikipedia.org/wiki/Logarithmic_distribution .
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LogisticDistribution |
This class models the logistic distribution
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LogisticExponentialDistribution |
This class models the LogisticExponential distribution
http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/lexpdf.htm
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LogNormalDistribution |
This class models the lognormal distribution with specified (mean & SD)
parameters.
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LomaxDistribution |
This class models the Lomax distribution (Pareto-distribution of hte second-kind)
with a specified parameters (alpha=shape1; gamma=shape2).
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MatchDistribution |
The distribution of the number of matches in a random permutation
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MaxwellDistribution |
This class models the Maxwell distribution with parameter a.
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MinimaxDistribution |
A Java implmentation of the Minimax distribution with specified left(alpha) and
right(Minimax) parameters
http://mathworld.wolfram.com/topics/ContinuousDistributions.html .
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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.
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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.
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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 .
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NegativeBinomialDistribution |
This class models the negative binomial distribution with specified successes
parameter and probability parameter.
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NegativeHypergeometricDistribution |
This class models the NegativeHypergeometric distribution with parameters B
(population size), b (sample size), and w (number of special-type 1 objects).
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NegativeMultiNomialDistribution |
The Negative-Multinomial distribution with parameter-vector (x_o,p),
where gamma = x_o>=0, and p=(p_1,…, p_r).
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NormalDistribution |
This class encapsulates the normal distribution with specified (mean, SD)
parameters.
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OrderStatisticDistribution |
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 parameters
(alpha=power; theta=LeftStart).
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PointMassDistribution |
Point mass at x0.
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PoissonDistribution |
A Java implementation of the Poisson distribution with specified Shift and
Mean parameters
http://en.wikipedia.org/wiki/Poisson_distribution.
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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.
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RandomVariable | |
RayleighDistribution |
A Java implmentation of the Rayleigh distribution with specified alpha & beta
parameters
http://mathworld.wolfram.com/RayleighDistribution.html
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RiceDistribution |
This class models the Rice (Rician) distribution.
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StudentDistribution |
This class models the Student T distribution with a specifed degrees of
freedom parameter.
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TriangleDistribution |
This class models the Triangular distribution on a specified interval.
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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/ .
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UQuadraticDistribution |
This class models the Quadratic U distribution on a specified interval.
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VonMisesDistribution |
This class models the Von-Mises (Circular Gaussian) distribution on [-Pi; Pi].
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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 | |
WeibullDistribution |
This class models the Weibull distribution with specified shape and scale
parameters.
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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 .
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