Open AccessModeling of Poverty Rate in Indonesian Using Geographically Weighted Logistic Regression for Supporting the Sustainable Development Goals Program in 2030
Author(s) -
Lailatus Syarifah,
Putri Andriani,
Nadhiyati Rizka,
Retno Dwi Puspitasari,
Nur Chamidah
Publication year - 2018
Publication title -
proceedings of the 2nd international conference postgraduate school
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0007554309350938
Subject(s) - indonesian , logistic regression , poverty , sustainable development , computer science , geographically weighted regression , regression analysis , statistics , economic growth , mathematics , economics , political science , machine learning , philosophy , linguistics , law
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