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

Packages that use CumulativeDistributionFunction
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
protected  CumulativeDistributionFunction<Double> KolmogorovSmirnovEvaluator.cdf
          The cumulative distribution function to base the evaluator on.
static CumulativeDistributionFunction<Double> KolmogorovSmirnovEvaluator.DEFAULT_CDF
          Default CDF, a 3-DOF Chi-Square.
 

Methods in gov.sandia.cognition.learning.function.scalar that return CumulativeDistributionFunction
 CumulativeDistributionFunction<Double> KolmogorovSmirnovEvaluator.getCDF()
          Getter for cdf
 

Methods in gov.sandia.cognition.learning.function.scalar with parameters of type CumulativeDistributionFunction
 void KolmogorovSmirnovEvaluator.setCDF(CumulativeDistributionFunction<Double> cdf)
          Setter for cdf
 

Constructors in gov.sandia.cognition.learning.function.scalar with parameters of type CumulativeDistributionFunction
KolmogorovSmirnovEvaluator(CumulativeDistributionFunction<Double> cdf, int capacity)
          Creates a new KolmogorovSmirnovEvaluator.
 

Uses of CumulativeDistributionFunction in gov.sandia.cognition.statistics
 

Subinterfaces of CumulativeDistributionFunction in gov.sandia.cognition.statistics
 interface ClosedFormCumulativeDistributionFunction<DomainType extends Number>
          Functionality of a cumulative distribution function that's defined with closed-form parameters.
 interface InvertibleCumulativeDistributionFunction<NumberType extends 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
 CumulativeDistributionFunction<NumberType> UnivariateDistribution.getCDF()
          Gets the CDF of a scalar distribution.
 CumulativeDistributionFunction<Number> UnivariateRandomVariable.getCDF()
           
 

Methods in gov.sandia.cognition.statistics with parameters of type CumulativeDistributionFunction
static
<DataType extends Number>
InputOutputPair<DataType,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
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 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
static
<DomainType extends Number>
KolmogorovSmirnovConfidence.Statistic
KolmogorovSmirnovConfidence.evaluateNullHypothesis(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 Number>
InputOutputPair<NumberType,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<Double,Double> InverseTransformSampling.inverseRootFinder(RootFinder rootFinder, CumulativeDistributionFunction<Double> cdf, double p)
          Inverts the given CDF, finding the value of "x" so that CDF(x)=p using a root-finding algorithm.
static ArrayList<Double> InverseTransformSampling.sample(CumulativeDistributionFunction<Double> cdf, Random random, int numSamples)
          Samples from the given CDF using the inverseRootFinder transform sampling method.