StatTimeSerAnalysis.ARMAMLE Method

Int32 ARMAMLE(TVec Data, TVec P, TVec T, TVec Residuals, ref Double MLE, ref Double mu)

Estimate ARMA process AR and MA coefficients.

#NameDescription
1DataTime series data set.
2PARIMA Before call stores initial estimates for ARIMA Phi coefficients. After call returns MLE estimates for Phi coefficients without leading 1.0.
3TARIMA Before call stores initial estimates for ARIMA Theta coefficients. After call returns MLE estimates for Theta coefficients.
4ResidualsReturns residuals between predicted (MLE) and actual time series values.
5MLEReturns -2 log likelihood of ARMA model.
6muReturns the estimated modified series average value (constant).

Returns: Int32 - Number of evaluations needed to converge to MLE solution.

Remarks:

Estimate ARMA(p,t) process coefficients by using MLE.

See Also: StatTimeSerAnalysis.ARMAHannahFit, StatTimeSerAnalysis.ARMAInnovationsFit