2021 : Geographically Weighted Bivariate Zero Inflated Generalized Poisson Regression Model and Its Application

Dr. Drs. Purhadi M.Sc

Year

2021

Published in

-

External link

Type

RESEARCH

Keywords

-


Abstract

This study discusses the development of Zero Inflated Generalized Poisson Regression (ZIGPR) with two response variables, that is Bivariate ZIGPR (BZIGPR). The extension of the ZIGPR model by considering spatial factor called Geographically Weighted Zero Inflated Generalized Poisson Regression (GWBZIGPR). The GWBZIGPR produces a local parameter estimator for each location of observation. The results showed that the parameter estimation using the Maximum Likelihood Estimation (MLE) method obtained an equation that did not closed form so that the numerical iteration of Berndt Hall Hall Hausman (BHHH) is used. The Akaike Information Criterion Corrected (AICc) value in the GWBZIGPR model is smaller than BZIGPR, so it means that the GWBZIGPR is better than the BZIGPR for modeling.