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

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

Package	Description
edu.ucla.stat.SOCR.core
edu.ucla.stat.SOCR.distributions
edu.ucla.stat.SOCR.experiments
edu.ucla.stat.SOCR.modeler
edu.ucla.stat.SOCR.util

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

Class and Description
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

Class and Description
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

Class and Description
RandomVariable

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

Class and Description
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.util

Class and Description
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