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Penerapan Regresi Quasi-Likelihood pada Data Cacah yang Mengalami Overdispersi pada Regresi Poisson

Ir. I Putu Eka Nila Kencana, MT, I Putu Eka Nila Kencana (2013) Penerapan Regresi Quasi-Likelihood pada Data Cacah yang Mengalami Overdispersi pada Regresi Poisson. E - Jurnal Matematika, 2 (2). ISSN 2303-1751

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Abstract

Poisson regression can be used to analyze count data, with assuming equidispersion. However, in the case of overdispersion often occur in the count data. The implementation of Poisson Regression can not be applied on this data because the data having overdispersion, that will lead to underestimate the standard error. Thus, use Quasi-Likelihood regression on this data. Quasi- Likelihood regression was also could not handle the overdispersion, but Quasi- Likelihood regression can improve the value of the standard error becomes greater than the value of the standard error on Poisson regression. Thus, by using the Quasi-Likelihood regression obtained three independent variables that affect the number of divorce cases in each urban city of Denpasar in 2011

Item Type: Article
Uncontrolled Keywords: Poisson Regression, Overdispersion, Quasi-Likeliho
Subjects: L Education > L Education (General)
Divisions: Faculty of Law, Arts and Social Sciences > School of Education
Depositing User: Mr. Repository Admin
Date Deposited: 07 Jun 2016 21:58
Last Modified: 21 Jun 2016 05:58
URI: http://erepo.unud.ac.id/id/eprint/5425

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