Partial concurrent adjustment → Estimate regression coefficients + outliers

The Partial concurrent adjustment → Estimate regression coefficients + outliers option means that the ARIMA model and regression parameters, except outliers, are not re-identified. The parameters of these variables, however, are re-estimated. All outliers are re-identified, i.e. the previous outcome of the outlier detection procedure is not taken into account and all outliers are identified and estimated once again. The transformation type remains unchanged.

The picture below presents the initial model (on the left) and the results of the refreshment procedure with the Partial concurrent adjustment → Estimate regression coefficients + outliers option (on the right). The parameters of the ARIMA part have been re-estimated and their values have been updated. Also regression coefficients for the calendar variables have been re-estimated. In the revised model there is no Prespecified outliers section. Instead, the outliers were re-identified.

The Partial concurrent adjustment → Estimate regression coefficient + outliers revision policy results