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dc.contributor.authorFokianos, Konstantinosen
dc.contributor.authorKedem, B.en
dc.contributor.authorShort, D. A.en
dc.creatorFokianos, Konstantinosen
dc.creatorKedem, B.en
dc.creatorShort, D. A.en
dc.date.accessioned2019-12-02T10:35:07Z
dc.date.available2019-12-02T10:35:07Z
dc.date.issued1996
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/56816
dc.description.abstractWe present a generalized logistic regression model for the statistical analysis of multicategorical time series. The model is suitably parameterized and partial likelihood inference is proposed for estimation of the unknown parameters. A goodness of fit statistic is derived to judge the quality of fit. The analysis is applied to data from the Tropical Ocean and Global Atmosphere/Coupled Ocean-Atmosphere Response Experiment.en
dc.sourceJournal of Geophysical Research Atmospheresen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0030407405&partnerID=40&md5=6ea49ec4e1d5c4b2a3802fb64fb36f5e
dc.subjecttime series analysisen
dc.subjectpredictionen
dc.subjectprecipitationen
dc.subjectatmospheric precipitationsen
dc.subjectTOGA-COAREen
dc.titlePredicting precipitation levelen
dc.typeinfo:eu-repo/semantics/article
dc.description.volume101
dc.description.issue21
dc.description.startingpage26473
dc.description.endingpage26477
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :1</p>en
dc.source.abbreviationJ.Geophys.Res.D Atmos.en
dc.contributor.orcidFokianos, Konstantinos [0000-0002-0051-711X]
dc.gnosis.orcid0000-0002-0051-711X


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