Package umontreal.iro.lecuyer.probdist

Interface Summary

Interface	Description
Distribution	This interface should be implemented by all classes supporting discrete and continuous distributions.

Class Summary

Class	Description
AndersonDarlingDist	Extends the class ContinuousDistribution for the Anderson-Darling distribution (see).
AndersonDarlingDistQuick	Extends the class AndersonDarlingDist for the distribution (see).
BernoulliDist	Extends the class DiscreteDistributionInt for the Bernoulli distribution with parameter p, where 0 <= p <= 1.
BetaDist	Extends the class ContinuousDistribution for the beta distribution with shape parameters α > 0 and β > 0, over the interval (a, b), where a < b.
BetaSymmetricalDist	Specializes the class BetaDist to the case of a symmetrical beta distribution over the interval [0, 1], with shape parameters α = β.
BinomialDist	Extends the class DiscreteDistributionInt for the binomial distribution with parameters n and p, where n is a positive integer and 0 <= p <= 1.
CauchyDist	Extends the class ContinuousDistribution for the Cauchy distribution with location parameter α and scale parameter β > 0.
ChiDist	Extends the class ContinuousDistribution for the chi distribution with shape parameter v > 0, where the number of degrees of freedom v is a positive integer.
ChiSquareDist	Extends the class ContinuousDistribution for the chi-square distribution with n degrees of freedom, where n is a positive integer.
ChiSquareDistQuick	Provides a variant of ChiSquareDist with faster but less accurate methods.
ChiSquareNoncentralDist	Extends the class ContinuousDistribution for the noncentral chi-square distribution with ν degrees of freedom and noncentrality parameter λ, where ν > 0 and λ > 0.
ContinuousDistribution	Classes implementing continuous distributions should inherit from this base class.
CramerVonMisesDist	Extends the class ContinuousDistribution for the Cramér-von Mises distribution (see).
DiscreteDistribution	Classes implementing discrete distributions over a finite set of real numbers should inherit from this class.
DiscreteDistributionInt	Classes implementing discrete distributions over the integers should inherit from this class.
DistributionFactory	This class implements a string API for the package probdist.
EmpiricalDist	Extends DiscreteDistribution to an empirical distribution function, based on the observations X(1),..., X(n) (sorted by increasing order).
ErlangDist	Extends the class GammaDist for the special case of the Erlang distribution with shape parameter k > 0 and scale parameter λ > 0.
ExponentialDist	Extends the class ContinuousDistribution for the exponential distribution with mean 1/λ where λ > 0.
ExponentialDistFromMean	Extends the ExponentialDist class with a constructor accepting as argument the mean 1/λ instead of the rate λ.
ExtremeValueDist	Deprecated
FatigueLifeDist	Extends the class ContinuousDistribution for the fatigue life distribution with location parameter μ, scale parameter β and shape parameter γ.
FisherFDist	Extends the class ContinuousDistribution for the Fisher F distribution with n and m degrees of freedom, where n and m are positive integers.
FoldedNormalDist	Extends the class ContinuousDistribution for the folded normal distribution with parameters μ >= 0 and σ > 0.
FrechetDist	Extends the class ContinuousDistribution for the Fréchet distribution, with location parameter δ, scale parameter β > 0, and shape parameter α > 0, where we use the notation z = (x - δ)/β.
GammaDist	Extends the class ContinuousDistribution for the gamma distribution with shape parameter α > 0 and scale parameter λ > 0.
GammaDistFromMoments	Extends the GammaDist distribution with constructors accepting the mean μ and variance σ2 as arguments instead of a shape parameter α and a scale parameter λ.
GeometricDist	Extends the class DiscreteDistributionInt for the geometric distribution with parameter p, where 0 < p < 1.
GumbelDist	Extends the class ContinuousDistribution for the Gumbel distribution, with location parameter δ and scale parameter β≠ 0.
HalfNormalDist	Extends the class ContinuousDistribution for the half-normal distribution with parameters μ and σ > 0.
HyperbolicSecantDist	Extends the class ContinuousDistribution for the Hyperbolic Secant distribution with location parameter μ and scale parameter σ > 0.
HypergeometricDist	Extends the class DiscreteDistributionInt for the hypergeometric distribution with k elements chosen among l, m being of one type, and l - m of the other.
InverseDistFromDensity	Implements a method for computing the inverse of an arbitrary continuous distribution function when only the probability density is known.
InverseGammaDist	Extends the class ContinuousDistribution for the inverse gamma distribution with shape parameter α > 0 and scale parameter β > 0.
InverseGaussianDist	Extends the class ContinuousDistribution for the inverse Gaussian distribution with location parameter μ > 0 and scale parameter λ > 0.
JohnsonSBDist	Extends the class ContinuousDistribution for the Johnson SB distribution with shape parameters γ and δ > 0, location parameter ξ, and scale parameter λ > 0.
JohnsonSUDist	Extends the class ContinuousDistribution for the Johnson SU distribution.
KolmogorovSmirnovDist	Extends the class ContinuousDistribution for the Kolmogorov-Smirnov distribution with parameter n.
KolmogorovSmirnovDistQuick	Extends the class KolmogorovSmirnovDist for the distribution.
KolmogorovSmirnovPlusDist	Extends the class ContinuousDistribution for the Kolmogorov-Smirnov+ distribution (see).
LaplaceDist	Extends the class ContinuousDistribution for the Laplace distribution.
LogarithmicDist	Extends the class DiscreteDistributionInt for the logarithmic distribution.
LogisticDist	Extends the class ContinuousDistribution for the logistic distribution.
LoglogisticDist	Extends the class ContinuousDistribution for the Log-Logistic distribution with shape parameter α > 0 and scale parameter β > 0.
LognormalDist	Extends the class ContinuousDistribution for the lognormal distribution.
LognormalDistFromMoments	Extends the LognormalDist class with a constructor accepting the mean m and the variance v of the distribution as arguments.
NakagamiDist	Extends the class ContinuousDistribution for the Nakagami distribution with location parameter a, scale parameter λ > 0 and shape parameter c > 0.
NegativeBinomialDist	Extends the class DiscreteDistributionInt for the negative binomial distribution with real parameters γ and p, where γ > 0 and 0 <= p <= 1.
NormalDist	Extends the class ContinuousDistribution for the normal distribution (e.g.,).
NormalDistQuick	A variant of the class NormalDist (for the normal distribution with mean μ and variance σ2).
NormalInverseGaussianDist	Extends the class ContinuousDistribution for the normal inverse gaussian distribution with location parameter μ, scale parameter δ > 0, tail heavyness α > 0, and asymmetry parameter β such that 0 <= | β| < α.
ParetoDist	Extends the class ContinuousDistribution for a distribution from the Pareto family, with shape parameter α > 0 and location parameter β > 0.
PascalDist	The Pascal distribution is a special case of the negative binomial distribution with parameters n and p, where n is a positive integer and 0 <= p <= 1.
Pearson5Dist	THIS CLASS HAS BEEN RENAMED InverseGammaDist.
Pearson6Dist	Extends the class ContinuousDistribution for the Pearson type VI distribution with shape parameters α1 > 0 and α2 > 0, and scale parameter β > 0.
PiecewiseLinearEmpiricalDist	Extends the class ContinuousDistribution for a piecewise-linear approximation of the empirical distribution function, based on the observations X(1),..., X(n) (sorted by increasing order), and defined as follows (e.g.,).
PoissonDist	Extends the class DiscreteDistributionInt for the Poisson distribution with mean λ >= 0.
PowerDist	Extends the class ContinuousDistribution for the power distribution with shape parameter c > 0, over the interval [a, b], where a < b.
RayleighDist	This class extends the class ContinuousDistribution for the Rayleigh distribution with location parameter a, and scale parameter β > 0.
StudentDist	Extends the class ContinuousDistribution for the Student t-distribution with n degrees of freedom, where n is a positive integer.
StudentDistQuick	Extends the class StudentDist for the Student t-distribution.
TriangularDist	Extends the class ContinuousDistribution for the triangular distribution with domain [a, b] and mode (or shape parameter) m, where a <= m <= b.
TruncatedDist	This container class takes an arbitrary continuous distribution and truncates it to an interval [a, b], where a and b can be finite or infinite.
UniformDist	Extends the class ContinuousDistribution for the uniform distribution over the interval [a, b].
UniformIntDist	Extends the class DiscreteDistributionInt for the discrete uniform distribution over the range [i, j].
WatsonGDist	Extends the class ContinuousDistribution for the Watson G distribution (see).
WatsonUDist	Extends the class ContinuousDistribution for the Watson U distribution (see).
WeibullDist	This class extends the class ContinuousDistribution for the Weibull distribution with shape parameter α > 0, location parameter δ, and scale parameter λ > 0.