Uses of Interface
gov.sandia.cognition.statistics.CumulativeDistributionFunction

Packages that use CumulativeDistributionFunction

Package	Description
gov.sandia.cognition.learning.function.scalar	Provides functions that output real numbers.
gov.sandia.cognition.statistics	Provides the inheritance hierarchy for general statistical methods and distributions.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Uses of CumulativeDistributionFunction in gov.sandia.cognition.learning.function.scalar

Fields in gov.sandia.cognition.learning.function.scalar declared as CumulativeDistributionFunction

Modifier and Type	Field and Description
protected CumulativeDistributionFunction<java.lang.Double>	KolmogorovSmirnovEvaluator.cdf The cumulative distribution function to base the evaluator on.
static CumulativeDistributionFunction<java.lang.Double>	KolmogorovSmirnovEvaluator.DEFAULT_CDF Default CDF, a 3-DOF Chi-Square.

Methods in gov.sandia.cognition.learning.function.scalar that return CumulativeDistributionFunction

Modifier and Type	Method and Description
CumulativeDistributionFunction<java.lang.Double>	KolmogorovSmirnovEvaluator.getCDF() Getter for cdf

Methods in gov.sandia.cognition.learning.function.scalar with parameters of type CumulativeDistributionFunction

Modifier and Type	Method and Description
void	KolmogorovSmirnovEvaluator.setCDF(CumulativeDistributionFunction<java.lang.Double> cdf) Setter for cdf

Constructors in gov.sandia.cognition.learning.function.scalar with parameters of type CumulativeDistributionFunction

Constructor and Description
KolmogorovSmirnovEvaluator(CumulativeDistributionFunction<java.lang.Double> cdf, int capacity) Creates a new KolmogorovSmirnovEvaluator.

Uses of CumulativeDistributionFunction in gov.sandia.cognition.statistics

Subinterfaces of CumulativeDistributionFunction in gov.sandia.cognition.statistics

Modifier and Type	Interface and Description
interface	ClosedFormCumulativeDistributionFunction<DomainType extends java.lang.Number> Functionality of a cumulative distribution function that's defined with closed-form parameters.
interface	InvertibleCumulativeDistributionFunction<NumberType extends java.lang.Number> A cumulative distribution function that is empirically invertible.
interface	SmoothCumulativeDistributionFunction This defines a CDF that has an associated derivative, which is its PDF.

Methods in gov.sandia.cognition.statistics that return CumulativeDistributionFunction

Modifier and Type	Method and Description
CumulativeDistributionFunction<NumberType>	UnivariateDistribution.getCDF() Gets the CDF of a scalar distribution.
CumulativeDistributionFunction<java.lang.Number>	UnivariateRandomVariable.getCDF()

Methods in gov.sandia.cognition.statistics with parameters of type CumulativeDistributionFunction

Modifier and Type	Method and Description
static <DataType extends java.lang.Number> InputOutputPair<DataType,java.lang.Double>	ProbabilityMassFunctionUtil.inverse(CumulativeDistributionFunction<DataType> cdf, double p) Inverts the discrete CDF, that is p=Pr{x<=X}.

Uses of CumulativeDistributionFunction in gov.sandia.cognition.statistics.distribution

Classes in gov.sandia.cognition.statistics.distribution that implement CumulativeDistributionFunction

Modifier and Type	Class and Description
static class	BernoulliDistribution.CDF CDF of a Bernoulli distribution.
static class	BetaBinomialDistribution.CDF CDF of BetaBinomialDistribution
static class	BetaDistribution.CDF CDF of the Beta-family distribution
static class	BinomialDistribution.CDF CDF of the Binomial distribution, which is the probability of getting up to "x" successes in "N" trials with a Bernoulli probability of "p"
static class	CauchyDistribution.CDF CDF of the CauchyDistribution.
static class	ChiSquareDistribution.CDF Cumulative Distribution Function (CDF) of a Chi-Square Distribution
static class	DeterministicDistribution.CDF CDF of the deterministic distribution.
static class	ExponentialDistribution.CDF CDF of the ExponentialDistribution.
static class	GammaDistribution.CDF CDF of the Gamma distribution
static class	GeometricDistribution.CDF CDF of the Geometric distribution
static class	InverseGammaDistribution.CDF CDF of the inverseRootFinder-gamma distribution.
static class	KolmogorovDistribution.CDF Contains the Cumulative Distribution Function description for the "D" statistic used within the Kolmogorov-Smirnov test.
static class	LaplaceDistribution.CDF CDF of the Laplace distribution.
static class	LogisticDistribution.CDF CDF of the LogisticDistribution
static class	LogNormalDistribution.CDF CDF of the Log-Normal Distribution
static class	NegativeBinomialDistribution.CDF CDF of the NegativeBinomialDistribution
static class	ParetoDistribution.CDF CDF of the Pareto Distribution.
static class	PoissonDistribution.CDF CDF of the PoissonDistribution
static class	ScalarDataDistribution.CDF CDF of the ScalarDataDistribution, maintains the keys/domain in sorted order (TreeMap), so it's slower than it's peers.
static class	ScalarMixtureDensityModel.CDF CDFof the SMDM
static class	SnedecorFDistribution.CDF CDF of the F-distribution.
static class	StudentizedRangeDistribution.CDF CDF of the StudentizedRangeDistribution
static class	StudentTDistribution.CDF Evaluator that computes the Cumulative Distribution Function (CDF) of a Student-t distribution with a fixed number of degrees of freedom
static class	UniformDistribution.CDF Cumulative Distribution Function of a uniform
static class	UniformIntegerDistribution.CDF Implements the cumulative distribution function for the discrete uniform distribution.
static class	UnivariateGaussian.CDF CDF of the underlying Gaussian.
static class	WeibullDistribution.CDF CDF of the Weibull distribution
static class	YuleSimonDistribution.CDF CDF of the Yule-Simon Distribution

Uses of CumulativeDistributionFunction in gov.sandia.cognition.statistics.method

Methods in gov.sandia.cognition.statistics.method with parameters of type CumulativeDistributionFunction

Modifier and Type	Method and Description
static <DomainType extends java.lang.Number> KolmogorovSmirnovConfidence.Statistic	KolmogorovSmirnovConfidence.evaluateNullHypothesis(java.util.Collection<? extends DomainType> data1, CumulativeDistributionFunction<DomainType> function) This is the standard K-S test for determining if the given data were generated by the given CDF.
static <NumberType extends java.lang.Number> InputOutputPair<NumberType,java.lang.Double>	InverseTransformSampling.inverse(CumulativeDistributionFunction<NumberType> cdf, double p) Inverts the given CDF, finding the value of "x" so that CDF(x)=p using a root-finding algorithm.
static InputOutputPair<java.lang.Double,java.lang.Double>	InverseTransformSampling.inverseRootFinder(RootFinder rootFinder, CumulativeDistributionFunction<java.lang.Double> cdf, double p) Inverts the given CDF, finding the value of "x" so that CDF(x)=p using a root-finding algorithm.
static java.util.ArrayList<java.lang.Double>	InverseTransformSampling.sample(CumulativeDistributionFunction<java.lang.Double> cdf, java.util.Random random, int numSamples) Samples from the given CDF using the inverseRootFinder transform sampling method.
static void	InverseTransformSampling.sampleInto(CumulativeDistributionFunction<java.lang.Double> cdf, java.util.Random random, int numSamples, java.util.Collection<? super java.lang.Double> output) Samples from the given CDF using the inverseRootFinder transform sampling method.