Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/16182
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dc.contributor.authorMöller, Tobiaspt
dc.contributor.authorSilva, M. Eduardapt
dc.contributor.authorWeiss, Christianpt
dc.contributor.authorScotto, Manuel Gonzálezpt
dc.contributor.authorPereira, Isabelpt
dc.date.accessioned2016-10-06T11:03:16Z-
dc.date.available2018-07-20T14:00:56Z-
dc.date.issued2016-10-
dc.identifier.issn1863-818Xpt
dc.identifier.urihttp://hdl.handle.net/10773/16182-
dc.description.abstractWe introduce a new class of integer-valued self-exciting threshold models, which is based on the binomial autoregressive model of order one as introduced by McKenzie (Water Resour Bull 21:645–650, 1985. doi:10.1111/j.1752-1688.1985. tb05379.x). Basic probabilistic and statistical properties of this class of models are discussed. Moreover, parameter estimation and forecasting are addressed. Finally, the performance of these models is illustrated through a simulation study and an empirical application to a set of measle cases in Germany.pt
dc.language.isoengpt
dc.publisherSpringerpt
dc.relationFCT - UID/MAT/04106/2013pt
dc.rightsopenAccesspor
dc.subjectThinning operationpt
dc.subjectThreshold modelspt
dc.subjectBinomial modelspt
dc.subjectCount processespt
dc.titleSelf-exciting threshold binomial autoregressive processespt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage369pt
degois.publication.issue4pt
degois.publication.lastPage400pt
degois.publication.titleAStA Advances in Statistical Analysispt
degois.publication.volume100pt
dc.date.embargo2017-10-01T11:00:00Z-
dc.identifier.doi10.1007/s10182-015-0264-6pt
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