PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON

PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON

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 t...

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Bibliographic Details
Main Authors: DESAK PUTU PRAMI MEITRIANI, KOMANG GDE SUKARSA, I PUTU EKA NILA KENCANA
Format: Article
Language:English
Published: Universitas Udayana 2013-05-01
Series:E-Jurnal Matematika
Subjects:
Poisson Regression
Overdispersion
Quasi-Likelihood Regression
standard error
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/6290

Internet

https://ojs.unud.ac.id/index.php/mtk/article/view/6290

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