A dynamic regression model for air pollen concentration
Identificadores
URI: http://hdl.handle.net/10481/72987Metadata
Show full item recordAuthor
Ocaña Peinado, Francisco Manuel; Valderrama Bonnet, Mariano José; Aguilera Del Pino, Ana MaríaEditorial
Springer
Materia
Transfer function model ARIMA Principal Component Analysis Air pollen concentration
Date
2008-03Referencia bibliográfica
Ocana-Peinado, F., Valderrama, M.J. & Aguilera, A.M. A dynamic regression model for air pollen concentration. Stoch Environ Res Risk Assess 22, 59–63 (2008). https://doi.org/10.1007/s00477-007-0153-y
Sponsorship
Project MTM2004-05992 of the Ministerio de Ciencia y Tecnología, Spain and the Research Group FQM-307 of the Consejería de Educación y Ciencia de la Junta de AndalucíaAbstract
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.