PENERAPAN REGRESI GENERALIZED POISSON UNTUK MENGATASI FENOMENA OVERDISPERSI PADA KASUS REGRESI POISSON
Abstract: The Poisson
regression is generally used to analyze the response variable that is a
discrete data. Poisson regression has assumption which must be met, that is
condition equidispersion. But in fact this assumption is often violated, that
is the value of the variance is greater or less than the mean value. The
condition when value of the variance is greater than the mean value is called
overdispersion. One method that can be used for overdispersion data is
Generalized Poisson regression. In this research, it was found that the
Generalized Poisson regression method was better than Poisson regression
method.
Keywords: Poisson Regression;
Overdispersion; Generalized Poisson regression
Penulis: I PUTU YUDANTA EKA
PUTRA, I PUTU EKA NILA KENCANA, I GUSTI AYU MADE SRINADI
Kode Jurnal: jpmatematikadd130006
