PERBANDINGAN REGRESI BINOMIAL NEGATIF DAN REGRESI GENERALISASI POISSON DALAM MENGATASI OVERDISPERSI (Studi Kasus: Jumlah Tenaga Kerja Usaha Pencetak Genteng di Br. Dukuh, Desa Pejaten)

  • NI MADE RARA KESWARI Faculty of Mathematics and Natural Sciences, Udayana University
  • I WAYAN SUMARJAYA Faculty of Mathematics and Natural Sciences, Udayana University
  • NI LUH PUTU SUCIPTAWATI Faculty of Mathematics and Natural Sciences, Udayana University

Abstract

Poisson regression is a nonlinear regression that is often used to model count response variable and categorical, interval, or count regressor. This regression assumes equidispersion, i.e., the variance equals the mean. However, in practice, this assumption is often violated. One of this violation is overdispersion in which the variance is greater than the mean. There are severalĀ  methods to overcome overdispersion. Two of these methods are negative binomial regression and generalized Poisson regression. In this research, binomial negative regression and generalized Poisson regression statistically equally good in handling overdispersion.

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Author Biographies

NI MADE RARA KESWARI, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
I WAYAN SUMARJAYA, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
NI LUH PUTU SUCIPTAWATI, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
Published
2014-08-29
How to Cite
KESWARI, NI MADE RARA; SUMARJAYA, I WAYAN; SUCIPTAWATI, NI LUH PUTU. PERBANDINGAN REGRESI BINOMIAL NEGATIF DAN REGRESI GENERALISASI POISSON DALAM MENGATASI OVERDISPERSI (Studi Kasus: Jumlah Tenaga Kerja Usaha Pencetak Genteng di Br. Dukuh, Desa Pejaten). E-Jurnal Matematika, [S.l.], v. 3, n. 3, p. 107 - 115, aug. 2014. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/12001>. Date accessed: 23 may 2022. doi: https://doi.org/10.24843/MTK.2014.v03.i03.p072.
Section
Articles

Keywords

Poisson Regression; Overdispersion; Negative Binomial Regression; Generalized Poisson Regression

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