Class Summary |
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. |