Predicting pollution incidents through semiparametric quantile regression models

dc.contributor.author	Roca Pardiñas, J.
dc.contributor.author	Ordóñez Galán, Celestino
dc.date.accessioned	2019-08-21T07:34:40Z
dc.date.available	2019-08-21T07:34:40Z
dc.date.issued	2019
dc.identifier.citation	Stochastic Environmental Research and Risk Assessment, 33(3), p. 673-685 (2019); doi:10.1007/s00477-019-01653-7
dc.identifier.issn	1436-3240
dc.identifier.uri	http://hdl.handle.net/10651/52480
dc.description.sponsorship	This paper has been supported by projects: (1) Avances metodológicos y computacionales en estadística no-paramétrica y semiparamétrica—Ministerio de Ciencia e Investigación (MTM2014-55966-P) and (2) Nuevos avances metodológicos y computationales en estadística no paramétrica y semiparamétrica— Ministerio de Economía, Industria y Competitividad (MTM2017- 89422-P).
dc.format.extent	p. 673-685
dc.language.iso	eng
dc.relation.ispartof	Stochastic Environmental Research and Risk Assessment, 33
dc.rights	© Springer-Verlag GmbH Germany, part of Springer Nature 2019
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061577218&doi=10.1007%2fs00477-019-01653-7&partnerID=40&md5=5097ba96ebe7f023f08688cb8b3db468
dc.title	Predicting pollution incidents through semiparametric quantile regression models
dc.type	journal article
dc.identifier.doi	10.1007/s00477-019-01653-7
dc.relation.projectID	MICNN/MTM2014-55966-P
dc.relation.projectID	MINECO/MTM2017-89422-P
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00477-019-01653-7

Ficheros en el ítem

Ficheros	Tamaño	Formato	Ver
No hay ficheros asociados a este ítem.