| Package | Description | 
|---|---|
| gov.sandia.cognition.statistics | 
 Provides the inheritance hierarchy for general statistical methods and distributions. 
 | 
| gov.sandia.cognition.statistics.distribution | 
 Provides statistical distributions. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AbstractClosedFormIntegerDistribution
An abstract class for closed-form integer distributions. 
 | 
| 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 
 |