A dynamic regression model for air pollen concentration

摘要

A transfer function model with multiplicative intervention variable is proposed in this paper in order to forecast air pollen concentration using the temperature as input series. The inertia process is at the same time modelled by means of a principal component analysis (PCA) after a suitable time rescaling. The final model is tested with cypress pollen data recorded in Granada (Spain) along 11 years.