repicea.stats.distributions

Class EmpiricalDistribution

java.lang.Object

repicea.stats.distributions.EmpiricalDistribution

All Implemented Interfaces:

java.io.Serializable, CentralMomentsGettable, Distribution

public class EmpiricalDistribution
extends java.lang.Object
implements Distribution, java.io.Serializable

The EmpiricalDistribution class handles empirical distribution from observations or realizations.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from interface repicea.stats.Distribution

Distribution.Type

Constructor Summary

Constructors

Constructor and Description
EmpiricalDistribution() Constructor.

Method Summary

Modifier and Type	Method and Description
void	addRealization(Matrix value) This method sets a given observation of the nonparametric distribution.
Matrix	getMean() This method returns the first central moment, i.e.
int	getNumberOfRealizations() This method returns the number of observations in this nonparametric distribution.
Matrix	getRandomRealization() This method draws a random realization from the distribution.
java.util.List<Matrix>	getRealizations() This method returns the array that contains all the observations of this distribution.
Distribution.Type	getType() This method returns the type of the distribution.
Matrix	getVariance() This method returns the second central moment, i.e.
boolean	isMultivariate() This method returns true if the GaussianFunction instance is multivariate.
boolean	isParametric() This method returns true if the distribution is parametric or false otherwise.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface repicea.stats.Distribution

isUnivariate

Constructor Detail

EmpiricalDistribution

public EmpiricalDistribution()

Constructor.

Method Detail

getNumberOfRealizations

public int getNumberOfRealizations()

This method returns the number of observations in this nonparametric distribution.

Returns:

an integer

addRealization

public void addRealization(Matrix value)

This method sets a given observation of the nonparametric distribution.

Parameters:

value - the value of the observation

getRealizations

public java.util.List<Matrix> getRealizations()

This method returns the array that contains all the observations of this distribution.

Returns:

an array of Matrix instances

getMean

public Matrix getMean()

Description copied from interface: CentralMomentsGettable

This method returns the first central moment, i.e. the mean vector, of the random variable.

Specified by:

getMean in interface CentralMomentsGettable

Returns:

a Matrix instance

getVariance

public Matrix getVariance()

Description copied from interface: CentralMomentsGettable

This method returns the second central moment, i.e. the variance-covariance matrix, of the random variable.

Specified by:

getVariance in interface CentralMomentsGettable

Returns:

a Number instance

isParametric

public boolean isParametric()

Description copied from interface: Distribution

This method returns true if the distribution is parametric or false otherwise.

Specified by:

isParametric in interface Distribution

Returns:

a boolean

isMultivariate

public boolean isMultivariate()

Description copied from interface: Distribution

This method returns true if the GaussianFunction instance is multivariate.

Specified by:

isMultivariate in interface Distribution

Returns:

a boolean

getType

public Distribution.Type getType()

Description copied from interface: Distribution

This method returns the type of the distribution.

Specified by:

getType in interface Distribution

Returns:

a Type enum

getRandomRealization

public Matrix getRandomRealization()

Description copied from interface: Distribution

This method draws a random realization from the distribution.

Specified by:

getRandomRealization in interface Distribution

Returns:

the observation in a Matrix instance