Greetings, I am trying to model a time series using arima(). For getting the model order components(p, d, q and P,D,Q) I am using procedure discussed in [1] in section 3.2 . It is most likely hit and trial method based on lower AIC value. I want to know what is the correct way to find model order components or the method described in [1] is the appropriate one. thanks in advance. -- [1]Automatic Time Series Forecasting: The forecast Package for R (http://www.jstatsoft.org/v27/i03)
Hi, I am trying to model a time series using arima(). For getting the model order components(p, d, q and P,D,Q) I am using procedure discussed in [1] in section 3.2 . It is most likely hit and trial method based on lower AIC value. I want to know what is the correct way to find model order components or the method described in [1] is the appropriate one. thanks in advance.
Amar <nandan.amar <at> gmail.com> writes:> > Hi, > I am trying to model a time series using arima(). For getting the > model order components(p, d, q and P,D,Q) I am using procedure > discussed in [1] in section 3.2 . It is most likely hit and trial > method based on lower AIC value. > I want to know what is the correct way to find model order components > or the method described in [1] is the appropriate one. > thanks in advance. > >[1]Automatic Time Series Forecasting: The forecast Package for R (http://www.jstatsoft.org/v27/i03)