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Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578887
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dc.contributor.authorFaroughi P
dc.contributor.authorIsmail N (UKM)
dc.date.accessioned2023-11-06T03:09:44Z-
dc.date.available2023-11-06T03:09:44Z-
dc.date.issued2017-04
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:116304
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/578887-
dc.descriptionThis paper introduces new forms of bivariate generalized Poisson (BGP) and bivariate negative binomial (BNB) regression models which can be fitted to bivariate and correlated count data with covariates. The BGP and BNB regression models can be fitted to bivariate count data with positive, zero or negative correlations. Applications of new BGP and BNB regression models are illustrated on Australian health survey data.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-2-4
dc.rightsUKM
dc.subjectGeneralized Poisson
dc.subjectNegative binomial
dc.subjectBivariate
dc.subjectCorrelation
dc.subjectOverdispersion
dc.titleSome new bivariate regression models
dc.typeJournal Article
dc.format.volume25
dc.format.pages537-544
dc.format.issue2
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