Some new bivariate regression models

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DC Field	Value	Language
dc.contributor.author	Ismail N. (Universiti Kebangsaan Malaysia)
dc.date.accessioned	2023-11-06T02:57:57Z	-
dc.date.available	2023-11-06T02:57:57Z	-
dc.date.issued	2017-04
dc.identifier.issn	0128-7680
dc.identifier.other	ukmvital:129755
dc.identifier.uri	https://ptsldigital.ukm.my/jspui/handle/123456789/578009	-
dc.description	This 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.iso	en
dc.publisher	Universiti Putra Malaysia Press
dc.relation.haspart	Pertanika Journals : Science & Technology
dc.relation.uri	http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?decade=2020&year=2017&journal=JST-25-2-4
dc.rights	(c) Universiti Putra Malaysia Press
dc.subject	Generalized Poisson
dc.subject	Negative binomial
dc.subject	Bivariate
dc.subject	Correlation
dc.subject	Overdispersion
dc.title	Some new bivariate regression models
dc.type	Journal Article
dc.format.volume	25
dc.format.pages	537-544
dc.format.issue	2
Appears in Collections:	Journal Content Pages/ Kandungan Halaman Jurnal

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