GEOGRAPHIC MODELING ON THE INFANT MORTALITY RATE IN WEST JAVA
Abstract: In geographic
modeling, global models such as ordinary linear regression (OLR) model
theoretically it provides quite reliable local information if there is not any
spatial diversity by region. In other words, OLR model cannot describe the
relations between variables in heterogeneous difference of each region. This
study will consider a model that will be used to estimate or predict the infant
mortality rate in the several regencies / cities in West Java Province. Because
the response variable observed in this study is count data which is assumed
Poisson distributed, geographically weighted Poisson regression model (GWPR) is
used. A better model is used to analyze the data of infant deaths in each
regency / city in West Java based on the AIC value, GWPR model has the smallest
value (compared to Poisson regression model), in which there is an interesting
and important difference from each regency/city about the factors that
significantly influence the Infant Mortality rate in each region.
Author: Nusar Hajarisman,
Yayat Karyana
Kode Jurnal: jpsosiologigg160015
