gov.sandia.cognition.statistics.distribution

Class NegativeBinomialDistribution.CDF

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.AbstractDistribution<NumberType>

gov.sandia.cognition.statistics.AbstractClosedFormUnivariateDistribution<java.lang.Number>

gov.sandia.cognition.statistics.AbstractClosedFormIntegerDistribution

gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution

gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution.CDF

All Implemented Interfaces:

Evaluator<java.lang.Number,java.lang.Double>, Vectorizable, ClosedFormComputableDistribution<java.lang.Number>, ClosedFormCumulativeDistributionFunction<java.lang.Number>, ClosedFormDiscreteUnivariateDistribution<java.lang.Number>, ClosedFormDistribution<java.lang.Number>, ClosedFormUnivariateDistribution<java.lang.Number>, ComputableDistribution<java.lang.Number>, CumulativeDistributionFunction<java.lang.Number>, DiscreteDistribution<java.lang.Number>, Distribution<java.lang.Number>, DistributionWithMean<java.lang.Number>, EstimableDistribution<java.lang.Number,NegativeBinomialDistribution>, IntegerDistribution, UnivariateDistribution<java.lang.Number>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

NegativeBinomialDistribution

public static class NegativeBinomialDistribution.CDF
extends NegativeBinomialDistribution
implements ClosedFormCumulativeDistributionFunction<java.lang.Number>

CDF of the NegativeBinomialDistribution

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution

NegativeBinomialDistribution.CDF, NegativeBinomialDistribution.MaximumLikelihoodEstimator, NegativeBinomialDistribution.PMF, NegativeBinomialDistribution.WeightedMaximumLikelihoodEstimator

Field Summary

Fields inherited from class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution

DEFAULT_P, DEFAULT_R, p, r

Constructor Summary

Constructors

Constructor and Description
CDF() Creates a new instance of CDF
CDF(double r, double p) Creates a new instance of CDF
CDF(NegativeBinomialDistribution other) Copy constructor

Method Summary

Modifier and Type	Method and Description
java.lang.Double	evaluate(java.lang.Number input) Evaluates the function on the given input and returns the output.
NegativeBinomialDistribution.CDF	getCDF() Gets the CDF of a scalar distribution.

Methods inherited from class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution

clone, convertFromVector, convertToVector, getDomain, getDomainSize, getEstimator, getMaxSupport, getMean, getMeanAsDouble, getMinSupport, getP, getProbabilityFunction, getR, getVariance, sampleAsInt, sampleInto, sampleInto, setP, setR, toString

Methods inherited from class gov.sandia.cognition.statistics.AbstractClosedFormIntegerDistribution

sampleAsInts

Methods inherited from class gov.sandia.cognition.statistics.AbstractDistribution

sample, sample

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface gov.sandia.cognition.math.matrix.Vectorizable

clone, convertFromVector, convertToVector

Methods inherited from interface gov.sandia.cognition.statistics.UnivariateDistribution

getMaxSupport, getMeanAsDouble, getMinSupport, getVariance

Methods inherited from interface gov.sandia.cognition.statistics.DistributionWithMean

getMean

Methods inherited from interface gov.sandia.cognition.statistics.Distribution

sample, sample, sampleInto

Constructor Detail

CDF

public CDF()

Creates a new instance of CDF

CDF

public CDF(double r,
           double p)

Creates a new instance of CDF

Parameters:

r - Number of trials before the experiment is stopped, must be greater than zero.

p - Probability of a positive outcome (Bernoulli probability), [0,1]

CDF

public CDF(NegativeBinomialDistribution other)

Copy constructor

Parameters:

other - NegativeBinomialDistribution to copy

Method Detail

evaluate

public java.lang.Double evaluate(java.lang.Number input)

Description copied from interface: Evaluator

Evaluates the function on the given input and returns the output.

Specified by:

evaluate in interface Evaluator<java.lang.Number,java.lang.Double>

Parameters:

input - The input to evaluate.

Returns:

The output produced by evaluating the input.

getCDF

public NegativeBinomialDistribution.CDF getCDF()

Description copied from interface: UnivariateDistribution

Gets the CDF of a scalar distribution.

Specified by:

getCDF in interface ClosedFormUnivariateDistribution<java.lang.Number>

Specified by:

getCDF in interface UnivariateDistribution<java.lang.Number>

Overrides:

getCDF in class NegativeBinomialDistribution

Returns:

CDF of the scalar distribution.