gov.sandia.cognition.statistics.distribution

Class UniformIntegerDistribution.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.UniformIntegerDistribution

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

Enclosing class:

UniformIntegerDistribution

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

Implements the cumulative distribution function for the discrete uniform distribution.

See Also:

Serialized Form

Nested Class Summary

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

UniformIntegerDistribution.CDF, UniformIntegerDistribution.MaximumLikelihoodEstimator, UniformIntegerDistribution.PMF

Field Summary

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

DEFAULT_MAX_SUPPORT, DEFAULT_MIN_SUPPORT

Constructor Summary

Constructors

Constructor and Description
CDF() Creates a new UniformIntegerDistribution.PMF with min and max 0.
CDF(int minSupport, int maxSupport) Creates a new UniformIntegerDistribution.CDF with the given min and max.
CDF(UniformIntegerDistribution other) Creates a new UniformIntegerDistribution.CDF as a copy of the given other uniform distribution.

Method Summary

Modifier and Type	Method and Description
static double	evaluate(int input, int minSupport, int maxSupport) Evaluates the cumulative density function of the discrete uniform distribution.
java.lang.Double	evaluate(java.lang.Number input) Evaluates the function on the given input and returns the output.
double	evaluateAsDouble(int input) Evaluates the cumulative distribution function for the input.
UniformIntegerDistribution.CDF	getCDF() Gets the CDF of a scalar distribution.

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

clone, convertFromVector, convertToVector, getDomain, getDomainSize, getEstimator, getMaxSupport, getMean, getMeanAsDouble, getMinSupport, getProbabilityFunction, getVariance, sampleAsInt, sampleInto, setMaxSupport, setMinSupport

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

sampleAsInts, sampleInto

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 UniformIntegerDistribution.PMF with min and max 0.

CDF

public CDF(int minSupport,
           int maxSupport)

Creates a new UniformIntegerDistribution.CDF with the given min and max.

Parameters:

minSupport - The minimum support. Should be less-than-or-equal to the max support.

maxSupport - The maximum support. Should be greater-than-or-equal to the min support.

CDF

public CDF(UniformIntegerDistribution other)

Creates a new UniformIntegerDistribution.CDF as a copy of the given other uniform distribution.

Parameters:

other - The other distribution.

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.

evaluateAsDouble

public double evaluateAsDouble(int input)

Evaluates the cumulative distribution function for the input.

Parameters:

input - The input value.

Returns:

The cumulative distribution value at the input.

evaluate

public static double evaluate(int input,
                              int minSupport,
                              int maxSupport)

Evaluates the cumulative density function of the discrete uniform distribution.

Parameters:

input - The input value.

minSupport - The minimum support. Should be less-than-or-equal to the max support.

maxSupport - The maximum support. Should be greater-than-or-equal to the min support.

Returns:

The cumulative density value for the input.

getCDF

public UniformIntegerDistribution.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 UniformIntegerDistribution

Returns:

CDF of the scalar distribution.