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

Packages that use ClosedFormDiscreteUnivariateDistribution

Package	Description
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 ClosedFormDiscreteUnivariateDistribution in gov.sandia.cognition.statistics

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

Modifier and Type	Class and Description
class	AbstractClosedFormIntegerDistribution An abstract class for closed-form integer distributions.

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

Modifier and Type	Method and Description
static double	ProbabilityMassFunctionUtil.computeCumulativeValue(int input, ClosedFormDiscreteUnivariateDistribution<? super java.lang.Integer> distribution) Computes the CDF value for the given PMF for the input.

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

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

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	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	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	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	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	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	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	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 ClosedFormDiscreteUnivariateDistribution in gov.sandia.cognition.statistics.method

Methods in gov.sandia.cognition.statistics.method that return ClosedFormDiscreteUnivariateDistribution

Modifier and Type	Method and Description
static ClosedFormDiscreteUnivariateDistribution	MaximumLikelihoodDistributionEstimator.estimateDiscreteDistribution(java.util.Collection<? extends java.lang.Number> data) Estimates a discrete distribution.