Uses of Package
edu.ucla.stat.SOCR.distributions

Packages that use edu.ucla.stat.SOCR.distributions

edu.ucla.stat.SOCR.core
edu.ucla.stat.SOCR.distributions
edu.ucla.stat.SOCR.experiments
edu.ucla.stat.SOCR.modeler
edu.ucla.stat.SOCR.modeler.gui
edu.ucla.stat.SOCR.util

Classes in edu.ucla.stat.SOCR.distributions used by edu.ucla.stat.SOCR.core

Domain
This class defines a partition of an interval into subintervals of equal width.

Classes in edu.ucla.stat.SOCR.distributions used by edu.ucla.stat.SOCR.distributions

BinomialDistribution
The binomial distribution with specified parameters: the number of trials (n) and the probability of success (p) http://mathworld.wolfram.com/BinomialDistribution.html .

Domain
This class defines a partition of an interval into subintervals of equal width.

FiniteDistribution
A basic discrete distribution on a finite set of points, with specified probabilities

GammaDistribution
Gamma distribution with a specified shape parameter and scale parameter.

IntervalData
This class defines a simple implementation of an interval data distribution.

LogNormalDistribution
This class models the lognormal distribution with specified (mean & SD) parameters.

NegativeBinomialDistribution
This class models the negative binomial distribution with specified successes parameter and probability parameter.

StudentDistribution
This class models the Student T distribution with a specifed degrees of freedom parameter.

Classes in edu.ucla.stat.SOCR.distributions used by edu.ucla.stat.SOCR.experiments

RandomVariable

Classes in edu.ucla.stat.SOCR.distributions used by edu.ucla.stat.SOCR.modeler

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 .

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.

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.

FisherTippettDistribution
A Java implmentation of the FisherTippettdistribution with specified alpha & beta parameters http://mathworld.wolfram.com/FisherTippettDistribution.html .

GammaDistribution
Gamma distribution with a specified shape parameter and scale parameter.

GeometricDistribution
The geometric distribution with parameter p.

GumbelDistribution
A Java implmentation of the Gumbel distribution with specified alpha & beta parameters http://mathworld.wolfram.com/GumbelDistribution.html .

InverseGammaDistribution
Gamma distribution with a specified shape parameter and scale parameter.

InverseGaussianDistribution
This class encapsulates the normal distribution with specified (mean, SD) parameters.

LaplaceDistribution
This class defines the Laplace distribution with parameters mu & beta.

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

LogNormalDistribution
This class models the lognormal distribution with specified (mean & SD) parameters.

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.

NormalDistribution
This class encapsulates the normal distribution with specified (mean, SD) parameters.

ParetoDistribution
This class models the Pareto distribution with a specified parameters (alpha=power; theta=LeftStart).

PoissonDistribution
A Java implementation of the Poisson distribution with specified Shift and Mean parameters http://en.wikipedia.org/wiki/Poisson_distribution.

PowerFunctionDistribution
A Java implementation of the PowerFunction distribution with specified Location, Scale and Shape parameters http://www.mathwave.com/articles/power_function_distribution.html.

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.

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].

Classes in edu.ucla.stat.SOCR.distributions used by edu.ucla.stat.SOCR.modeler.gui

Domain
This class defines a partition of an interval into subintervals of equal width.

IntervalData
This class defines a simple implementation of an interval data distribution.

Classes in edu.ucla.stat.SOCR.distributions used by edu.ucla.stat.SOCR.util

DieDistribution
Distribution for a standard 6-sided die

Domain
This class defines a partition of an interval into subintervals of equal width.

IntervalData
This class defines a simple implementation of an interval data distribution.

NormalDistribution
This class encapsulates the normal distribution with specified (mean, SD) parameters.

RandomVariable