gov.sandia.cognition.statistics

Interface SmoothCumulativeDistributionFunction

All Superinterfaces:

java.lang.Cloneable, CloneableSerializable, ClosedFormComputableDistribution<java.lang.Double>, ClosedFormCumulativeDistributionFunction<java.lang.Double>, ClosedFormDifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>, ClosedFormDistribution<java.lang.Double>, ClosedFormUnivariateDistribution<java.lang.Double>, ComputableDistribution<java.lang.Double>, CumulativeDistributionFunction<java.lang.Double>, DifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>, Distribution<java.lang.Double>, DistributionWithMean<java.lang.Double>, Evaluator<java.lang.Double,java.lang.Double>, ScalarFunction<java.lang.Double>, java.io.Serializable, SmoothUnivariateDistribution, UnivariateDistribution<java.lang.Double>, UnivariateScalarFunction, Vectorizable

All Known Implementing Classes:

BetaDistribution.CDF, CauchyDistribution.CDF, ChiSquareDistribution.CDF, ExponentialDistribution.CDF, GammaDistribution.CDF, InverseGammaDistribution.CDF, LaplaceDistribution.CDF, LogisticDistribution.CDF, LogNormalDistribution.CDF, ParetoDistribution.CDF, ScalarMixtureDensityModel.CDF, StudentTDistribution.CDF, UniformDistribution.CDF, UnivariateGaussian.CDF, WeibullDistribution.CDF

public interface SmoothCumulativeDistributionFunction
extends ClosedFormCumulativeDistributionFunction<java.lang.Double>, SmoothUnivariateDistribution, UnivariateScalarFunction, ClosedFormDifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>

This defines a CDF that has an associated derivative, which is its PDF.

Since:

3.0

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
UnivariateProbabilityDensityFunction	getDerivative() Gets the closed-form derivative of the function.

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

getCDF, getMean, getProbabilityFunction, sampleAsDouble, sampleAsDoubles, sampleInto

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

getMaxSupport, getMeanAsDouble, getMinSupport, getVariance

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

sample, sample, sampleInto

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

clone, convertFromVector, convertToVector

Methods inherited from interface gov.sandia.cognition.math.UnivariateScalarFunction

evaluate, evaluate, evaluateAsDouble

Methods inherited from interface gov.sandia.cognition.math.DifferentiableEvaluator

differentiate

Method Detail

getDerivative

UnivariateProbabilityDensityFunction getDerivative()

Description copied from interface: ClosedFormDifferentiableEvaluator

Gets the closed-form derivative of the function.

Specified by:

getDerivative in interface ClosedFormDifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>

Returns:

Closed-form derivative of the function.