Abstract
This talk presents a method for fitting a single ARMA time series model simultaneously to multiple independent realisations of a time series process. It shows that the natural time series representations of this problem cannot be fitted efficiently using readily available software. However by first interleaving the time series it is possible to employ existing univariate modelling tools. The interleaving approach and its properties will be presented along with its application to other time series models and to daily maximum temperatures.