gov.sandia.cognition.statistics.distribution

Class BetaBinomialDistribution.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.BetaBinomialDistribution

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

Enclosing class:

BetaBinomialDistribution

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

CDF of BetaBinomialDistribution

See Also:

Serialized Form

Nested Class Summary

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

BetaBinomialDistribution.CDF, BetaBinomialDistribution.MomentMatchingEstimator, BetaBinomialDistribution.PMF

Field Summary

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

DEFAULT_N, DEFAULT_SCALE, DEFAULT_SHAPE, n, scale, shape

Constructor Summary

Constructors

Constructor and Description
CDF() Creates a new instance of BetaBinomialDistribution
CDF(BetaBinomialDistribution other) Copy constructor
CDF(int n, double shape, double scale) Creates a new instance of BetaBinomialDistribution

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.
BetaBinomialDistribution.CDF	getCDF() Gets the CDF of a scalar distribution.

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

clone, convertFromVector, convertToVector, getDomain, getDomainSize, getEstimator, getMaxSupport, getMean, getMeanAsDouble, getMinSupport, getN, getProbabilityFunction, getScale, getShape, getVariance, sampleAsInt, sampleInto, sampleInto, setN, setScale, setShape

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()

Creates a new instance of BetaBinomialDistribution

CDF

public CDF(int n,
           double shape,
           double scale)

Creates a new instance of BetaBinomialDistribution

Parameters:

shape - Shape, similar to the beta parameter shape, must be greater than zero

scale - Scale, similar to the beta parameter scale, must be greater than zero

n - Number of observations, similar to the Binomial N, must be greater than zero

CDF

public CDF(BetaBinomialDistribution other)

Copy constructor

Parameters:

other - BetaBinomialDistribution 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 BetaBinomialDistribution.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 BetaBinomialDistribution

Returns:

CDF of the scalar distribution.