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

Packages that use UnivariateDistribution

Package	Description
gov.sandia.cognition.learning.function.cost	Provides cost functions.
gov.sandia.cognition.statistics	Provides the inheritance hierarchy for general statistical methods and distributions.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
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 UnivariateDistribution in gov.sandia.cognition.learning.function.cost

Methods in gov.sandia.cognition.learning.function.cost with parameters of type UnivariateDistribution

Modifier and Type	Method and Description
java.lang.Double	KolmogorovSmirnovDivergence.evaluate(UnivariateDistribution<DataType> target)

Uses of UnivariateDistribution in gov.sandia.cognition.statistics

Subinterfaces of UnivariateDistribution 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	ClosedFormDiscreteUnivariateDistribution<DomainType extends java.lang.Number> A ClosedFormUnivariateDistribution that is also a DiscreteDistribution
interface	ClosedFormUnivariateDistribution<NumberType extends java.lang.Number> Defines the functionality associated with a closed-form scalar distribution.
interface	CumulativeDistributionFunction<NumberType extends java.lang.Number> Functionality of a cumulative distribution function.
interface	IntegerDistribution Defines a distribution over natural numbers.
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.
interface	SmoothUnivariateDistribution A closed-form scalar distribution that is also smooth.
interface	UnivariateProbabilityDensityFunction A PDF that takes doubles as input.

Classes in gov.sandia.cognition.statistics that implement UnivariateDistribution

Modifier and Type	Class and Description
class	AbstractClosedFormIntegerDistribution An abstract class for closed-form integer distributions.
class	AbstractClosedFormSmoothUnivariateDistribution Partial implementation of SmoothUnivariateDistribution
class	AbstractClosedFormUnivariateDistribution<NumberType extends java.lang.Number> Partial implementation of a ClosedFormUnivariateDistribution.
class	UnivariateRandomVariable This is an implementation of a RandomVariable for scalar distributions.

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

Modifier and Type	Method and Description
UnivariateDistribution<? extends java.lang.Number>	UnivariateRandomVariable.getDistribution() Getter for distribution

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

Modifier and Type	Method and Description
void	UnivariateRandomVariable.setDistribution(UnivariateDistribution<? extends java.lang.Number> distribution) Setter for distribution

Constructors in gov.sandia.cognition.statistics with parameters of type UnivariateDistribution

Constructor and Description
UnivariateRandomVariable(UnivariateDistribution<? extends java.lang.Number> distribution, java.util.Random random) Creates a new instance of UnivariateRandomVariable
UnivariateRandomVariable(UnivariateDistribution<? extends java.lang.Number> distribution, java.util.Random random, int numSamples) Creates a new instance of UnivariateRandomVariable

Uses of UnivariateDistribution in gov.sandia.cognition.statistics.bayesian

Methods in gov.sandia.cognition.statistics.bayesian with parameters of type UnivariateDistribution

Modifier and Type	Method and Description
static <NumberType extends java.lang.Number> BayesianCredibleInterval	BayesianCredibleInterval.compute(UnivariateDistribution<NumberType> distribution, double confidence) Creates a Bayesian credible interval by inverting the given CDF.

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

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

Modifier and Type	Class and Description
class	BernoulliDistribution A Bernoulli distribution, which takes a value of "1" with probability "p" and value of "0" with probability "1-p".
static class	BernoulliDistribution.CDF CDF of a Bernoulli distribution.
static class	BernoulliDistribution.PMF PMF of the Bernoulli distribution.
class	BetaBinomialDistribution A Binomial distribution where the binomial parameter, p, is set according to a Beta distribution instead of a single value.
static class	BetaBinomialDistribution.CDF CDF of BetaBinomialDistribution
static class	BetaBinomialDistribution.PMF PMF of the BetaBinomialDistribution
class	BetaDistribution Computes the Beta-family of probability distributions.
static class	BetaDistribution.CDF CDF of the Beta-family distribution
static class	BetaDistribution.PDF Beta distribution probability density function
class	BinomialDistribution Binomial distribution, which is a collection of Bernoulli trials
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	BinomialDistribution.PMF The Probability Mass Function of a binomial distribution.
class	CauchyDistribution A Cauchy Distribution is the ratio of two Gaussian Distributions, sometimes known as the Lorentz distribution.
static class	CauchyDistribution.CDF CDF of the CauchyDistribution.
static class	CauchyDistribution.PDF PDF of the CauchyDistribution.
class	ChiSquareDistribution Describes a Chi-Square Distribution.
static class	ChiSquareDistribution.CDF Cumulative Distribution Function (CDF) of a Chi-Square Distribution
static class	ChiSquareDistribution.PDF PDF of the Chi-Square distribution
class	DeterministicDistribution A deterministic distribution that returns samples at a single point.
static class	DeterministicDistribution.CDF CDF of the deterministic distribution.
static class	DeterministicDistribution.PMF PMF of the deterministic distribution.
class	ExponentialDistribution An Exponential distribution describes the time between events in a poisson process, resulting in a memoryless distribution.
static class	ExponentialDistribution.CDF CDF of the ExponentialDistribution.
static class	ExponentialDistribution.PDF PDF of the ExponentialDistribution.
class	GammaDistribution Class representing the Gamma distribution.
static class	GammaDistribution.CDF CDF of the Gamma distribution
static class	GammaDistribution.PDF Closed-form PDF of the Gamma distribution
class	GeometricDistribution The geometric distribution models the number of successes before the first failure occurs under an independent succession of Bernoulli tests.
static class	GeometricDistribution.CDF CDF of the Geometric distribution
static class	GeometricDistribution.PMF PMF of the Geometric distribution
class	InverseGammaDistribution Defines an inverse-gamma distribution.
static class	InverseGammaDistribution.CDF CDF of the inverseRootFinder-gamma distribution.
static class	InverseGammaDistribution.PDF PDF of the inverseRootFinder-Gamma distribution.
class	KolmogorovDistribution Contains the Cumulative Distribution Function description for the "D" statistic used within the Kolmogorov-Smirnov test.
static class	KolmogorovDistribution.CDF Contains the Cumulative Distribution Function description for the "D" statistic used within the Kolmogorov-Smirnov test.
class	LaplaceDistribution A Laplace distribution, sometimes called a double exponential distribution.
static class	LaplaceDistribution.CDF CDF of the Laplace distribution.
static class	LaplaceDistribution.PDF The PDF of a Laplace Distribution.
class	LogisticDistribution A implementation of the scalar logistic distribution, which measures the log-odds of a binary event.
static class	LogisticDistribution.CDF CDF of the LogisticDistribution
static class	LogisticDistribution.PDF PDF of the LogisticDistribution
class	LogNormalDistribution Log-Normal distribution PDF and CDF implementations.
static class	LogNormalDistribution.CDF CDF of the Log-Normal Distribution
static class	LogNormalDistribution.PDF PDF of a Log-normal distribution
class	NegativeBinomialDistribution Negative binomial distribution, also known as the Polya distribution, gives the number of successes of a series of Bernoulli trials before recording a given number of failures.
static class	NegativeBinomialDistribution.CDF CDF of the NegativeBinomialDistribution
static class	NegativeBinomialDistribution.PMF PMF of the NegativeBinomialDistribution.
class	ParetoDistribution This class describes the Pareto distribution, sometimes called the Bradford Distribution.
static class	ParetoDistribution.CDF CDF of the Pareto Distribution.
static class	ParetoDistribution.PDF PDF of the ParetoDistribution
class	PoissonDistribution A Poisson distribution is the limits of what happens when a Bernoulli trial with "rare" events are sampled on a continuous basis and then binned into discrete time intervals.
static class	PoissonDistribution.CDF CDF of the PoissonDistribution
static class	PoissonDistribution.PMF PMF of the PoissonDistribution.
class	ScalarDataDistribution A Data Distribution that uses Doubles as its keys, making it a univariate distribution
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	ScalarDataDistribution.PMF PMF of the ScalarDataDistribution
class	ScalarMixtureDensityModel ScalarMixtureDensityModel (SMDM) implements just that: a scalar mixture density model.
static class	ScalarMixtureDensityModel.CDF CDFof the SMDM
static class	ScalarMixtureDensityModel.PDF PDF of the SMDM
class	SnedecorFDistribution CDF of the Snedecor F-distribution (also known as Fisher F-distribution, Fisher-Snedecor F-distribution, or just plain old F-distribution).
static class	SnedecorFDistribution.CDF CDF of the F-distribution.
class	StudentizedRangeDistribution Implementation of the Studentized Range distribution, which defines the population correction factor when performing multiple comparisons.
static class	StudentizedRangeDistribution.CDF CDF of the StudentizedRangeDistribution
class	StudentTDistribution Defines a noncentral Student-t Distribution.
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	StudentTDistribution.PDF Evaluator that computes the Probability Density Function (CDF) of a Student-t distribution with a fixed number of degrees of freedom
class	UniformDistribution Contains the (very simple) definition of a continuous Uniform distribution, parameterized between the minimum and maximum bounds.
static class	UniformDistribution.CDF Cumulative Distribution Function of a uniform
static class	UniformDistribution.PDF Probability density function of a Uniform Distribution
class	UniformIntegerDistribution Contains the (very simple) definition of a continuous Uniform distribution, parameterized between the minimum and maximum bounds.
static class	UniformIntegerDistribution.CDF Implements the cumulative distribution function for the discrete uniform distribution.
static class	UniformIntegerDistribution.PMF Probability mass function of a discrete uniform distribution.
class	UnivariateGaussian This class contains internal classes that implement useful functions based on the Gaussian distribution.
static class	UnivariateGaussian.CDF CDF of the underlying Gaussian.
static class	UnivariateGaussian.CDF.Inverse Inverts the CumulativeDistribution function.
static class	UnivariateGaussian.PDF PDF of the underlying Gaussian.
class	WeibullDistribution Describes a Weibull distribution, which is often used to describe the mortality, lifespan, or size distribution of objects.
static class	WeibullDistribution.CDF CDF of the Weibull distribution
static class	WeibullDistribution.PDF PDF of the Weibull distribution
class	YuleSimonDistribution The Yule-Simon distribution is a model of preferential attachment, such as a model of the number of groups follows a power-law distribution (Zipf's Law).
static class	YuleSimonDistribution.CDF CDF of the Yule-Simon Distribution
static class	YuleSimonDistribution.PMF PMF of the Yule-Simon Distribution

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

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

Modifier and Type	Method and Description
static ConfidenceInterval	GaussianConfidence.computeConfidenceInterval(UnivariateDistribution<?> dataDistribution, int numSamples, double confidence) Computes the Gaussian confidence interval given a distribution of data, number of samples, and corresponding confidence interval