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dc.contributor.authorRydén, Jesper
dc.date.accessioned2018-01-12T15:53:39Z
dc.date.available2018-01-12T15:53:39Z
dc.date.issued2017-06-21
dc.identifier.citationRydén, J. Statistical modeling of warm-spell duration series using hurdle models. "SORT", 21 Juny 2017, vol. 1, p. 177-188.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2117/112758
dc.description.abstractRegression models for counts could be applied to the earth sciences, for instance when studying trends of extremes of climatological quantities. Hurdle models are modified count models which can be regarded as mixtures of distributions. In this paper, hurdle models are applied to model the sums of lengths of periods of high temperatures. A modification to the common versions presented in the literature is presented, as left truncation as well as a particular treatment of zeros is needed for the problem. The outcome of the model is compared to those of simpler count models.
dc.format.extent12 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.otherCount data
dc.subject.otherhurdle models
dc.subject.otherPoisson regression
dc.subject.othernegative binomial distribution
dc.subject.otherclimate
dc.titleStatistical modeling of warm-spell duration series using hurdle models
dc.typeArticle
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62J Linear inference, regression
dc.subject.amsClassificació AMS::62 Statistics::62P Applications
dc.rights.accessOpen Access
local.citation.publicationNameSORT
local.citation.volume1
local.citation.startingPage177
local.citation.endingPage188


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