Time series modelling

Time series modelling scenarios are designed for a time series analysis that includes identification and estimation of an ARIMA model as well as abnormal values and calendar effects. It is done by applying automatic model identification procedures implemented in the pre-processing parts of TRAMO/SEATS and X-13ARIMA-SEATS. These scenarios enable an analysis of the time series characteristics. There are two scenarios, Basic time series analysis and Advanced time series analysis, they differ in the amount of user intervention required and in the level of detail and savig options of the output.