ABSTRACT

We now discuss what is perhaps the most important class of weakly stationary time series processes for the applications of (linear) forecasting and modeling. The Autoregressive Moving Average (ARMA) process has enjoyed enormous success over many decades as a simple model that has performed remarkably well in forecasting competitions.