gov.sandia.cognition.statistics

Interface UnivariateDistribution<NumberType extends java.lang.Number>

Type Parameters:

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

All Superinterfaces:

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

All Known Subinterfaces:

ClosedFormCumulativeDistributionFunction<DomainType>, ClosedFormDiscreteUnivariateDistribution<DomainType>, ClosedFormUnivariateDistribution<NumberType>, CumulativeDistributionFunction<NumberType>, IntegerDistribution, InvertibleCumulativeDistributionFunction<NumberType>, 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, ScalarDataDistribution, ScalarDataDistribution.CDF, ScalarDataDistribution.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, UnivariateRandomVariable, WeibullDistribution, WeibullDistribution.CDF, WeibullDistribution.PDF, YuleSimonDistribution, YuleSimonDistribution.CDF, YuleSimonDistribution.PMF

public interface UnivariateDistribution<NumberType extends java.lang.Number>
extends DistributionWithMean<NumberType>

A Distribution that takes Doubles as inputs and can compute its variance.

Since:

3.0

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
CumulativeDistributionFunction<NumberType>	getCDF() Gets the CDF of a scalar distribution.
NumberType	getMaxSupport() Gets the minimum support (domain or input) of the distribution.
double	getMeanAsDouble() Gets the mean of the distribution as a double.
NumberType	getMinSupport() Gets the minimum support (domain or input) of the distribution.
double	getVariance() Gets the variance of the distribution.

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

getMean

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

sample, sample, sampleInto

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Method Detail

getMinSupport

NumberType getMinSupport()

Gets the minimum support (domain or input) of the distribution.

Returns:

Minimum support.

getMaxSupport

NumberType getMaxSupport()

Gets the minimum support (domain or input) of the distribution.

Returns:

Minimum support.

getCDF

CumulativeDistributionFunction<NumberType> getCDF()

Gets the CDF of a scalar distribution.

Returns:

CDF of the scalar distribution.

getMeanAsDouble

double getMeanAsDouble()

Gets the mean of the distribution as a double.

Returns:

The mean as a double.

getVariance

double getVariance()

Gets the variance of the distribution. This is sometimes called the second central moment by more pedantic people, which is equivalent to the square of the standard deviation.

Returns:

Variance of the distribution.