This is a preview. Log in through your library . Abstract We consider three estimators of the autocorrelation function for a stationary process with missing observations. The first estimator is linked ...

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 ...