gov.sandia.cognition.statistics.distribution

Class PoissonDistribution.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.PoissonDistribution

gov.sandia.cognition.statistics.distribution.PoissonDistribution.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,PoissonDistribution>, IntegerDistribution, UnivariateDistribution<java.lang.Number>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

PoissonDistribution

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

CDF of the PoissonDistribution

See Also:

Serialized Form

Nested Class Summary

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

PoissonDistribution.CDF, PoissonDistribution.MaximumLikelihoodEstimator, PoissonDistribution.PMF, PoissonDistribution.WeightedMaximumLikelihoodEstimator

Field Summary

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

DEFAULT_RATE, rate

Constructor Summary

Constructors

Constructor and Description
CDF() Default constructor.
CDF(double rate) Creates a new CDF
CDF(PoissonDistribution 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.
PoissonDistribution.CDF	getCDF() Gets the CDF of a scalar distribution.

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

clone, convertFromVector, convertToVector, getDomain, getDomainSize, getEstimator, getMaxSupport, getMean, getMeanAsDouble, getMinSupport, getProbabilityFunction, getRate, getVariance, sampleAsInt, sampleInto, sampleInto, setRate

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, toString, 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()

Default constructor.

CDF

public CDF(double rate)

Creates a new CDF

Parameters:

rate - Expected number of occurrences during the integer interval, must be greater than zero.

CDF

public CDF(PoissonDistribution other)

Copy constructor

Parameters:

other - PoissonDistribution 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 PoissonDistribution.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 PoissonDistribution

Returns:

CDF of the scalar distribution.