StatTimeSerAnalysis.ARMAForecast Method

void ARMAForecast(TVec Data, TVec P, TVec T, TVec Residuals, Int32 n, Double mu, TVec Forecast, TVec fStdDev)

Forecast time series by using ARMA(p,q) model.

#NameDescription
1DataThe original time series data set.
2PARIMA Phi (AR) coefficients. Assumes P (AR model) to be without the leading 1.0.
3TARIMA Theta (MA) coefficients.
4ResidualsResiduals as returned by ARMAMLE.
5nNumber of samples to forecast.
6muThis modified average value is included in to the optimization process of ARMAMLE, which returns optimal value for it.
7ForecastResults of the forecasting (beyond the last index value of Data starting at Data.Length).
8fStdDevReturns standard deviation of residuals.

Result: stored in self (calling object)

See Also: StatTimeSerAnalysis.ARMAForecast, StatTimeSerAnalysis.ARMAPredictors