Interpreting Partial Autocorrelation Functions of Seasonal Time Series Models

A simple approach to understanding the behaviour of the partial autocorrelation function of seasonal time series is presented, based on a partial autocorrelation pattern. This pattern, which acts as a signature of the regular component of the model, is a simple composite of the autocorrelation and partial autocorrelation functions of the regular component.