Package 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	Description
AutoCovarianceFunction()

Method Summary

Modifier and Type	Method	Description
double	get(int i, int j)	Get the auto-covariance of xi and xj.

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 Details

AutoCovarianceFunction

public AutoCovarianceFunction()

Method Details

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