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
收藏
页码：2746 / 2757
相关论文
共 50 条
  • [41] Analysis of the energy justice in natural gas distribution with Multiscale Geographically Weighted Regression (MGWR)
    Kurkcuoglu, Muzeyyen Anil Senyel
    ENERGY REPORTS, 2023, 9 : 325 - 337
  • [42] Simultaneous coefficient penalization and model selection in geographically weighted regression: the geographically weighted lasso
    Wheeler, David C.
    ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE, 2009, 41 (03): : 722 - 742
  • [43] Mixed geographically weighted regression (MGWR) model with weighted adaptive bi-square for case of dengue hemorrhagic fever (DHF) in Surakarta
    Astuti, H. N.
    Saputro, D. R. S.
    Susanti, Y.
    INTERNATIONAL CONFERENCE ON MATHEMATICS: EDUCATION, THEORY AND APPLICATION, 2017, 855
  • [44] A bootstrap test for constant coefficients in geographically weighted regression models
    Mei, Chang-Lin
    Xu, Min
    Wang, Ning
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2016, 30 (08) : 1622 - 1643
  • [45] Structure identification and variable selection in geographically weighted regression models
    Wang, Wentao
    Li, Dengkui
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2017, 87 (10) : 2050 - 2068
  • [46] Hedonic price models with geographically weighted regression: An application to hospitality
    Soler, Ismael P.
    Gemar, German
    JOURNAL OF DESTINATION MARKETING & MANAGEMENT, 2018, 9 : 126 - 137
  • [47] Fiscal decentralization analysis that affect economic performance using geographically weighted regression (GWR)
    Permai, Syarifah Diana
    Christina, Ardelia
    Gunawan, Alexander Agung Santoso
    5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMPUTATIONAL INTELLIGENCE 2020, 2021, 179 : 399 - 406
  • [48] Distribution free prediction for geographically weighted functional regression models
    Diana, Andrea
    Romano, Elvira
    Irpino, Antonio
    SPATIAL STATISTICS, 2023, 57
  • [49] Geographically Weighted Regression Models to Investigate Urban Infrastructures Impacts
    Dell'Anna, Federico
    Bottero, Marta
    Bravi, Marina
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT VII, 2021, 12955 : 599 - 613
  • [50] Multiscale cooperative optimization in multiscale geographically weighted regression models
    Yan, Jinbiao
    Wu, Bo
    Zheng, He
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2024,
12345