kieker.tools.tslib.forecast.arima
Class ARIMA101Forecaster

java.lang.Object
  kieker.tools.tslib.forecast.AbstractForecaster<Double>
      kieker.tools.tslib.forecast.AbstractRForecaster
          kieker.tools.tslib.forecast.arima.ARIMA101Forecaster

All Implemented Interfaces:

IForecaster<Double>

public class ARIMA101Forecaster
extends AbstractRForecaster

An R-based time series forecaster which computes a forecast based on exponential smoothing.

Since:

1.10

Author:

Andre van Hoorn, Tillmann Carlos Bielefeld

Constructor Summary

ARIMA101Forecaster(ITimeSeries<Double> historyTimeseries)

ARIMA101Forecaster(ITimeSeries<Double> historyTimeseries, int confidenceLevel)

Method Summary

Methods inherited from class kieker.tools.tslib.forecast.AbstractRForecaster

forecast, removeNullValues

Methods inherited from class kieker.tools.tslib.forecast.AbstractForecaster

getConfidenceLevel, getTsOriginal

Methods inherited from class java.lang.Object

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

Constructor Detail

ARIMA101Forecaster

public ARIMA101Forecaster(ITimeSeries<Double> historyTimeseries)

Parameters:

historyTimeseries - timeseries used by forecating algo

ARIMA101Forecaster

public ARIMA101Forecaster(ITimeSeries<Double> historyTimeseries,
                          int confidenceLevel)

Parameters:

historyTimeseries - timeseries used by forecating algo

confidenceLevel - value of confidence