gov.sandia.cognition.statistics

Interface ClosedFormUnivariateDistribution<NumberType extends java.lang.Number>

Type Parameters:

NumberType - Type of Number that can be sampled from this Distribution.

All Superinterfaces:

java.lang.Cloneable, CloneableSerializable, ClosedFormDistribution<NumberType>, Distribution<NumberType>, DistributionWithMean<NumberType>, java.io.Serializable, UnivariateDistribution<NumberType>, Vectorizable

All Known Subinterfaces:

ClosedFormDiscreteUnivariateDistribution<DomainType>, SmoothCumulativeDistributionFunction, SmoothUnivariateDistribution, UnivariateProbabilityDensityFunction

All Known Implementing Classes:

AbstractClosedFormIntegerDistribution, AbstractClosedFormSmoothUnivariateDistribution, AbstractClosedFormUnivariateDistribution, BernoulliDistribution, BernoulliDistribution.CDF, BernoulliDistribution.PMF, BetaBinomialDistribution, BetaBinomialDistribution.CDF, BetaBinomialDistribution.PMF, BetaDistribution, BetaDistribution.CDF, BetaDistribution.PDF, BinomialDistribution, BinomialDistribution.CDF, BinomialDistribution.PMF, CauchyDistribution, CauchyDistribution.CDF, CauchyDistribution.PDF, ChiSquareDistribution, ChiSquareDistribution.CDF, ChiSquareDistribution.PDF, DeterministicDistribution, DeterministicDistribution.CDF, DeterministicDistribution.PMF, ExponentialDistribution, ExponentialDistribution.CDF, ExponentialDistribution.PDF, GammaDistribution, GammaDistribution.CDF, GammaDistribution.PDF, GeometricDistribution, GeometricDistribution.CDF, GeometricDistribution.PMF, InverseGammaDistribution, InverseGammaDistribution.CDF, InverseGammaDistribution.PDF, KolmogorovDistribution, KolmogorovDistribution.CDF, LaplaceDistribution, LaplaceDistribution.CDF, LaplaceDistribution.PDF, LogisticDistribution, LogisticDistribution.CDF, LogisticDistribution.PDF, LogNormalDistribution, LogNormalDistribution.CDF, LogNormalDistribution.PDF, NegativeBinomialDistribution, NegativeBinomialDistribution.CDF, NegativeBinomialDistribution.PMF, ParetoDistribution, ParetoDistribution.CDF, ParetoDistribution.PDF, PoissonDistribution, PoissonDistribution.CDF, PoissonDistribution.PMF, ScalarMixtureDensityModel, ScalarMixtureDensityModel.CDF, ScalarMixtureDensityModel.PDF, SnedecorFDistribution, SnedecorFDistribution.CDF, StudentizedRangeDistribution, StudentizedRangeDistribution.CDF, StudentTDistribution, StudentTDistribution.CDF, StudentTDistribution.PDF, UniformDistribution, UniformDistribution.CDF, UniformDistribution.PDF, UniformIntegerDistribution, UniformIntegerDistribution.CDF, UniformIntegerDistribution.PMF, UnivariateGaussian, UnivariateGaussian.CDF, UnivariateGaussian.CDF.Inverse, UnivariateGaussian.PDF, WeibullDistribution, WeibullDistribution.CDF, WeibullDistribution.PDF, YuleSimonDistribution, YuleSimonDistribution.CDF, YuleSimonDistribution.PMF

public interface ClosedFormUnivariateDistribution<NumberType extends java.lang.Number>
extends ClosedFormDistribution<NumberType>, UnivariateDistribution<NumberType>

Defines the functionality associated with a closed-form scalar distribution. That is, a parameterized distribution that takes doubles as inputs.

Since:

3.0

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
ClosedFormCumulativeDistributionFunction<NumberType>	getCDF() Gets the CDF of a scalar distribution.

Methods inherited from interface gov.sandia.cognition.math.matrix.Vectorizable

clone, convertFromVector, convertToVector

Methods inherited from interface gov.sandia.cognition.statistics.UnivariateDistribution

getMaxSupport, getMeanAsDouble, getMinSupport, getVariance

Methods inherited from interface gov.sandia.cognition.statistics.DistributionWithMean

getMean

Methods inherited from interface gov.sandia.cognition.statistics.Distribution

sample, sample, sampleInto

Method Detail

getCDF

ClosedFormCumulativeDistributionFunction<NumberType> getCDF()

Description copied from interface: UnivariateDistribution

Gets the CDF of a scalar distribution.

Specified by:

getCDF in interface UnivariateDistribution<NumberType extends java.lang.Number>

Returns:

CDF of the scalar distribution.