Module eu.hansolo.tilesfx

Package eu.hansolo.tilesfx.tools

Class DoubleExponentialSmoothingForLinearSeries

java.lang.Object

eu.hansolo.tilesfx.tools.DoubleExponentialSmoothingForLinearSeries

public class DoubleExponentialSmoothingForLinearSeries
extends java.lang.Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	DoubleExponentialSmoothingForLinearSeries.Model

Constructor Summary

Constructors

Constructor	Description
DoubleExponentialSmoothingForLinearSeries()

Method Summary

Modifier and Type	Method	Description
static DoubleExponentialSmoothingForLinearSeries.Model	fit(double[] data, double alpha, double beta)	Performs double exponential smoothing for given time series.
static void	main(java.lang.String[] args)

Methods inherited from class java.lang.Object

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

Constructor Detail

DoubleExponentialSmoothingForLinearSeries

public DoubleExponentialSmoothingForLinearSeries()

Method Detail

fit

public static DoubleExponentialSmoothingForLinearSeries.Model fit(double[] data,
                                                                  double alpha,
                                                                  double beta)

Performs double exponential smoothing for given time series. This method is suitable for fitting series with linear trend.

Parameters:

data - An array containing the recorded data of the time series

alpha - Smoothing factor for data (0 < alpha < 1)

beta - Smoothing factor for trend (0 < beta < 1)

Returns:

Instance of model that can be used to forecast future values

main

public static void main(java.lang.String[] args)