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;
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摘要：
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页码：2746 / 2757
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