gov.sandia.cognition.statistics.distribution

Class StudentizedRangeDistribution.CDF

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

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

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

gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution

gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution.CDF

All Implemented Interfaces:

Evaluator<java.lang.Double,java.lang.Double>, Vectorizable, ClosedFormCumulativeDistributionFunction<java.lang.Double>, ClosedFormDistribution<java.lang.Double>, ClosedFormUnivariateDistribution<java.lang.Double>, CumulativeDistributionFunction<java.lang.Double>, Distribution<java.lang.Double>, DistributionWithMean<java.lang.Double>, InvertibleCumulativeDistributionFunction<java.lang.Double>, UnivariateDistribution<java.lang.Double>, CloneableSerializable, Randomized, java.io.Serializable, java.lang.Cloneable

Enclosing class:

StudentizedRangeDistribution

public static class StudentizedRangeDistribution.CDF
extends StudentizedRangeDistribution
implements ClosedFormCumulativeDistributionFunction<java.lang.Double>, InvertibleCumulativeDistributionFunction<java.lang.Double>

CDF of the StudentizedRangeDistribution

See Also:

Serialized Form

Nested Class Summary

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

StudentizedRangeDistribution.APStat, StudentizedRangeDistribution.CDF, StudentizedRangeDistribution.SampleRange

Field Summary

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

DEFAULT_DEGREES_OF_FREEDOM, DEFAULT_NUM_SAMPLES, DEFAULT_TREATMENT_COUNT, degreesOfFreedom, random, treatmentCount

Constructor Summary

Constructors

Constructor and Description
CDF() Default constructor
CDF(int treatmentCount, double degreesOfFreedom) Creates a new instance of StudentizedRangeDistribution
CDF(StudentizedRangeDistribution other) Copy constructor

Method Summary

Modifier and Type	Method and Description
java.lang.Double	evaluate(java.lang.Double input) Evaluates the function on the given input and returns the output.
StudentizedRangeDistribution.CDF	getCDF() Gets the CDF of a scalar distribution.
java.lang.Double	inverse(double probability) Computes the inverse of the CDF for the given probability.

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

clone, convertFromVector, convertToVector, getDegreesOfFreedom, getMaxSupport, getMean, getMeanAsDouble, getMinSupport, getRandom, getTreatmentCount, getVariance, sampleInto, setDegreesOfFreedom, setRandom, setTreatmentCount

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(int treatmentCount,
           double degreesOfFreedom)

Creates a new instance of StudentizedRangeDistribution

Parameters:

treatmentCount - Number of comparisons made

degreesOfFreedom - Number of subjects in each treatment minus one.

CDF

public CDF(StudentizedRangeDistribution other)

Copy constructor

Parameters:

other - StudentizedRangeDistribution to copy

Method Detail

evaluate

public java.lang.Double evaluate(java.lang.Double 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.Double,java.lang.Double>

Parameters:

input - The input to evaluate.

Returns:

The output produced by evaluating the input.

inverse

public java.lang.Double inverse(double probability)

Description copied from interface: InvertibleCumulativeDistributionFunction

Computes the inverse of the CDF for the given probability. That is, compute the value "x" such that p=CDF(x).

Specified by:

inverse in interface InvertibleCumulativeDistributionFunction<java.lang.Double>

Parameters:

probability - Probability to invert.

Returns:

Inverse of the CDF for the given probability.

getCDF

public StudentizedRangeDistribution.CDF getCDF()

Description copied from interface: UnivariateDistribution

Gets the CDF of a scalar distribution.

Specified by:

getCDF in interface ClosedFormUnivariateDistribution<java.lang.Double>

Specified by:

getCDF in interface UnivariateDistribution<java.lang.Double>

Overrides:

getCDF in class StudentizedRangeDistribution

Returns:

CDF of the scalar distribution.