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A dynamic regression model for air pollen concentration

dc.contributor.authorOcaña Peinado, Francisco 
dc.contributor.authorValderrama Bonnet, Mariano José 
dc.contributor.authorAguilera Del Pino, Ana María 
dc.date.accessioned2022-02-24T09:14:16Z
dc.date.available2022-02-24T09:14:16Z
dc.date.issued2008-03
dc.identifier.citationOcana-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-yes_ES
dc.identifier.urihttp://hdl.handle.net/10481/72987
dc.description.abstractA 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.es_ES
dc.description.sponsorshipProject 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 Andalucíaes_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAtribución-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/es/*
dc.subjectTransfer function modeles_ES
dc.subjectARIMAes_ES
dc.subjectPrincipal Component Analysises_ES
dc.subjectAir pollen concentrationes_ES
dc.titleA dynamic regression model for air pollen concentrationes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsembargoed accesses_ES
dc.identifier.doihttps://doi.org/10.1007/s00477-007-0153-y
dc.type.hasVersionSMURes_ES


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