Dynamic Model and Forecasting of Ground Deformation in Subway Construction
Pan Feng Guo · Journal of Tongji University · 2001
This article issues a new viewpoint and method in modeling for time series based on AR model. The method is able to give less calculating and to be programmed on computer. Compared with the cases of application between the dynamic model and the static model, it is indicated that the model of time series analysis dynamic model is an important and advanced forecasting method in statistical forecasting, and has higher forecasting accuracy. This method can be widely used in fields. But static model is available for interpolation, not for extrapolated forecasting.