gov.sandia.cognition.statistics.distribution

Class BernoulliDistribution.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.BernoulliDistribution

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

Enclosing class:

BernoulliDistribution

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

CDF of a Bernoulli distribution.

See Also:

Serialized Form

Nested Class Summary

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

BernoulliDistribution.CDF, BernoulliDistribution.PMF

Field Summary

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

DEFAULT_P

Constructor Summary

Constructors

Constructor and Description
CDF() Default constructor
CDF(BernoulliDistribution other) Copy constructor
CDF(double p) Creates a new instance of PMF

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

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

convertFromVector, convertToVector, getDomain, getDomainSize, getMaxSupport, getMean, getMeanAsDouble, getMinSupport, getP, getProbabilityFunction, getVariance, sampleAsBoolean, sampleAsInt, sampleInto, setP, toString

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

sampleAsInts, sampleInto

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

clone

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()

Default constructor

CDF

public CDF(double p)

Creates a new instance of PMF

Parameters:

p - Bernoulli parameter, where the distribution takes value "1" with probability "p" and value "0" with probability 1-p.

CDF

public CDF(BernoulliDistribution other)

Copy constructor

Parameters:

other - BernoulliDistribution 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 BernoulliDistribution.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 BernoulliDistribution

Returns:

CDF of the scalar distribution.