Uses of Interface
org.apache.commons.statistics.distribution.ContinuousDistribution

Packages that use ContinuousDistribution

Package	Description
io.virtdata.continuous.common
io.virtdata.continuous.int_double
io.virtdata.continuous.long_double
org.apache.commons.math4.distribution	Implementations of common discrete and continuous distributions.
org.apache.commons.math4.stat.inference	Classes providing hypothesis testing.
org.apache.commons.statistics.distribution	Implementations of common discrete and continuous distributions.

Uses of ContinuousDistribution in io.virtdata.continuous.common

Constructors in io.virtdata.continuous.common with parameters of type ContinuousDistribution

Constructor	Description
RealDistributionICDSource(ContinuousDistribution realDistribution)

Uses of ContinuousDistribution in io.virtdata.continuous.int_double

Constructors in io.virtdata.continuous.int_double with parameters of type ContinuousDistribution

Constructor	Description
IntToDoubleContinuousCurve(ContinuousDistribution distribution, java.lang.String... modslist)

Uses of ContinuousDistribution in io.virtdata.continuous.long_double

Constructors in io.virtdata.continuous.long_double with parameters of type ContinuousDistribution

Constructor	Description
LongToDoubleContinuousCurve(ContinuousDistribution distribution, java.lang.String... modslist)

Uses of ContinuousDistribution in org.apache.commons.math4.distribution

Subinterfaces of ContinuousDistribution in org.apache.commons.math4.distribution

Modifier and Type	Interface	Description
interface	RealDistribution	Base interface for distributions on the reals.

Classes in org.apache.commons.math4.distribution that implement ContinuousDistribution

Modifier and Type	Class	Description
class	AbstractRealDistribution	Base class for probability distributions on the reals.
class	EmpiricalDistribution	Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
class	EnumeratedRealDistribution	Implementation of a real-valued EnumeratedDistribution.

Methods in org.apache.commons.math4.distribution that return ContinuousDistribution

Modifier and Type	Method	Description
protected ContinuousDistribution	EmpiricalDistribution.getKernel(SummaryStatistics bStats)	The within-bin smoothing kernel.

Uses of ContinuousDistribution in org.apache.commons.math4.stat.inference

Methods in org.apache.commons.math4.stat.inference with parameters of type ContinuousDistribution

Modifier and Type	Method	Description
static double	InferenceTestUtils.kolmogorovSmirnovStatistic(ContinuousDistribution dist, double[] data)
double	KolmogorovSmirnovTest.kolmogorovSmirnovStatistic(ContinuousDistribution distribution, double[] data)	Computes the one-sample Kolmogorov-Smirnov test statistic, \(D_n=\sup_x |F_n(x)-F(x)|\) where \(F\) is the distribution (cdf) function associated with distribution, \(n\) is the length of data and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in data.
static double	InferenceTestUtils.kolmogorovSmirnovTest(ContinuousDistribution dist, double[] data)
static double	InferenceTestUtils.kolmogorovSmirnovTest(ContinuousDistribution dist, double[] data, boolean strict)
static boolean	InferenceTestUtils.kolmogorovSmirnovTest(ContinuousDistribution dist, double[] data, double alpha)
double	KolmogorovSmirnovTest.kolmogorovSmirnovTest(ContinuousDistribution distribution, double[] data)	Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
double	KolmogorovSmirnovTest.kolmogorovSmirnovTest(ContinuousDistribution distribution, double[] data, boolean exact)	Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
boolean	KolmogorovSmirnovTest.kolmogorovSmirnovTest(ContinuousDistribution distribution, double[] data, double alpha)	Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.

Uses of ContinuousDistribution in org.apache.commons.statistics.distribution

Classes in org.apache.commons.statistics.distribution that implement ContinuousDistribution

Modifier and Type	Class	Description
class	BetaDistribution	Implementation of the Beta distribution.
class	CauchyDistribution	Implementation of the Cauchy distribution.
class	ChiSquaredDistribution	Implementation of the chi-squared distribution.
class	ConstantContinuousDistribution	Implementation of the constant real distribution.
class	ExponentialDistribution	Implementation of the exponential distribution.
class	FDistribution	Implementation of the F-distribution.
class	GammaDistribution	Implementation of the Gamma distribution.
class	GumbelDistribution	This class implements the Gumbel distribution.
class	LaplaceDistribution	This class implements the Laplace distribution.
class	LevyDistribution	This class implements the Lévy distribution.
class	LogisticDistribution	Implementation of the Logistic distribution.
class	LogNormalDistribution	Implementation of the log-normal distribution.
class	NakagamiDistribution	This class implements the Nakagami distribution.
class	NormalDistribution	Implementation of the normal (Gaussian) distribution.
class	ParetoDistribution	Implementation of the Pareto distribution.
class	TDistribution	Implementation of Student's t-distribution.
class	TriangularDistribution	Implementation of the triangular real distribution.
class	UniformContinuousDistribution	Implementation of the uniform distribution.
class	WeibullDistribution	Implementation of the Weibull distribution.