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 |
Class and Description |
---|
Domain
This class defines a partition of an interval into subintervals of equal
width.
|
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.
|
Class and Description |
---|
RandomVariable |
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].
|
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 |