Some new bivariate regression models

P. Faroughi, Noriszura Ismail

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)537-544
Number of pages8
JournalPertanika Journal of Science and Technology
Volume25
Issue number2
Publication statusPublished - 1 Apr 2017

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Statistical Models
health survey
Health Surveys

Keywords

  • Bivariate
  • Correlation
  • Generalized Poisson
  • Negative binomial
  • Overdispersion

ASJC Scopus subject areas

  • Computer Science(all)
  • Chemical Engineering(all)
  • Environmental Science(all)
  • Agricultural and Biological Sciences(all)

Cite this

Some new bivariate regression models. / Faroughi, P.; Ismail, Noriszura.

In: Pertanika Journal of Science and Technology, Vol. 25, No. 2, 01.04.2017, p. 537-544.

Research output: Contribution to journalArticle

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