dev.nm.stat.timeseries.linear.univariate

Class AutoCovarianceFunction

java.lang.Object

dev.nm.analysis.function.rn2r1.AbstractRealScalarFunction

dev.nm.analysis.function.rn2r1.AbstractBivariateRealFunction

dev.nm.stat.timeseries.linear.univariate.AutoCovarianceFunction

All Implemented Interfaces:

Function<Vector,Double>, BivariateRealFunction, RealScalarFunction

Direct Known Subclasses:

AutoCovariance, SampleAutoCovariance

public abstract class AutoCovarianceFunction
extends AbstractBivariateRealFunction

This is the auto-covariance function of a univariate time series \(\{x_{t}\}\). For a stationary process, the auto-covariance depends only on the lag, |i - j|.

Nested Class Summary

Nested classes/interfaces inherited from interface dev.nm.analysis.function.Function

Function.EvaluationException

Constructor Summary

Constructors

Constructor and Description
AutoCovarianceFunction()

Method Summary

Modifier and Type	Method and Description
double	get(int i, int j) Get the auto-covariance of \(x_{i}\) and \(x_{j}\).

Methods inherited from class dev.nm.analysis.function.rn2r1.AbstractBivariateRealFunction

evaluate

Methods inherited from class dev.nm.analysis.function.rn2r1.AbstractRealScalarFunction

dimensionOfDomain, dimensionOfRange

Methods inherited from class java.lang.Object

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

Methods inherited from interface dev.nm.analysis.function.rn2r1.BivariateRealFunction

evaluate

Methods inherited from interface dev.nm.analysis.function.Function

dimensionOfDomain, dimensionOfRange

Constructor Detail

AutoCovarianceFunction

public AutoCovarianceFunction()

Method Detail

get

public double get(int i,
                  int j)

Get the auto-covariance of \(x_{i}\) and \(x_{j}\).

Parameters:

i - i > 0

j - j > 0

Returns:

the auto-covariance of \(x_{i}\) and \(x_{j}\)