Abstract
Spurious components of economical time series often lead to the incorrect identification of regression model. In this paper the new method based on the weighted mean of the residual variance distribution is developed to identify the polynomial regression model for time series of seasonal variations wiht spurious data. The simulation and teh application of a set of economical time series express that the proposed method is effective to many time series of small size.
