A dynamic regression model for air pollen concentration

Ocaña Peinado, Francisco Manuel; Valderrama Bonnet, Mariano José; Aguilera Del Pino, Ana María

doi:https://doi.org/10.1007/s00477-007-0153-y

Pre-print A dynamic regression model for air pollen concentration (275.3Kb)

Identificadores

URI: http://hdl.handle.net/10481/72987

DOI: https://doi.org/10.1007/s00477-007-0153-y

Exportar

Editorial

Springer

Materia

Transfer function model

ARIMA

Principal Component Analysis

Air pollen concentration

Date

2008-03

Referencia 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 Andalucía

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.

Collections

FQM307 - Artículos

Except where otherwise noted, this item's license is described as Atribución-SinDerivadas 3.0 España