## Uses of Classgov.sandia.cognition.statistics.AbstractClosedFormIntegerDistribution

• Packages that use AbstractClosedFormIntegerDistribution
Package Description
gov.sandia.cognition.statistics.distribution
Provides statistical distributions.
• ### Uses of AbstractClosedFormIntegerDistribution in gov.sandia.cognition.statistics.distribution

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 ` `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