Abstract: Based on AR model and its extension to CAR model, this paper presents a new method for centralized modelling for time series. Dynamic model and static model are compared. The result shows that the dynamic model of time series analysis is an important system analysis and an advanced forecast one among statistics forecast method. Its forecast precision is high. Static model is suitable for interposition.