repicea.stats

Interface Distribution

All Superinterfaces:

CentralMomentsGettable, java.io.Serializable

All Known Implementing Classes:

CenteredGaussianDistribution, ChiSquaredDistribution, EmpiricalDistribution, GaussianDistribution, StandardGaussianDistribution, StudentTDistribution, TruncatedGaussianDistribution, UniformDistribution, UnknownDistribution

public interface Distribution
extends CentralMomentsGettable, java.io.Serializable

The Distribution interface provides the basic function for a probability density (or mass) function.

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static class	Distribution.Type

Method Summary

Modifier and Type	Method and Description
Matrix	getRandomRealization() This method draws a random realization from the distribution.
Distribution.Type	getType() This method returns the type of the distribution.
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.
default boolean	isUnivariate() Returns true if the GaussianFunction instance is univariate.

Methods inherited from interface repicea.stats.CentralMomentsGettable

getMean, getVariance

Method Detail

isParametric

boolean isParametric()

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

Returns:

a boolean

isMultivariate

boolean isMultivariate()

This method returns true if the GaussianFunction instance is multivariate.

Returns:

a boolean

isUnivariate

default boolean isUnivariate()

Returns true if the GaussianFunction instance is univariate.

Returns:

a boolean

getType

Distribution.Type getType()

This method returns the type of the distribution.

Returns:

a Type enum

getRandomRealization

Matrix getRandomRealization()

This method draws a random realization from the distribution.

Returns:

the observation in a Matrix instance