Comparison of Geographically Weighted Regression (GWR) and Mixed Geographically Weighted Regression (MGWR) Models on the Poverty Levels in Central Java in 2023

被引：0

作者：

Alya, Najma Attaqiya ^{[1
]}

Almaulidiyah, Qothrotunnidha ^{[1
]}

Farouk, Bailey Reshad ^{[1
]}

Rantini, Dwi ^{[2
]}

Ramadan, Arip ^{[3
]}

Othman, Fazidah ^{[4
]}

机构：

[1] Engineering Department, Data Science Technology Study Program, Universitas Airlangga, Indonesia

[2] Engineering Department, Data Science Technology Study Program, Faculty of Advanced Technology and Multi-discipline, Universitas Airlangga, Indonesia

[3] Information System Study Program, Department of Industrial and System Engineering, Telkom University, Surabaya Campus, Indonesia

[4] Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Malaysia

来源：

IAENG International Journal of Applied Mathematics | 2024年 / 54卷 / 12期

关键词：

Logistic regression;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：2746 / 2757