@misc{10481/72987,
year = {2008},
month = {3},
url = {http://hdl.handle.net/10481/72987},
abstract = {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.},
organization = {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 Andalucía},
publisher = {Springer},
keywords = {Transfer function model},
keywords = {ARIMA},
keywords = {Principal Component Analysis},
keywords = {Air pollen concentration},
title = {A dynamic regression model for air pollen concentration},
doi = {https://doi.org/10.1007/s00477-007-0153-y},
author = {Ocaña Peinado, Francisco and Valderrama Bonnet, Mariano José and Aguilera Del Pino, Ana María},
}