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Pemodelan Geographically Weighted Logistic Regression dengan Fungsi Adaptive Gaussian Kernel Terhadap Kemiskinan di Provinsi NTT

The Geographically Weighted Logistic Regression (GWLR) model is a logistic regression model development that is applied to spatial data from non-stationary processes. This model is used to predict a model of the data set that has a binary response variable which takes into account the spatial factor...

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Principais autores: Novia Amilatus Solekha, Mohammad Farhan Qudratullah
פורמט: Artigo
שפה:Inglês
יצא לאור: Department of Mathematics, Universitas Negeri Gorontalo 2022-01-01
סדרה:Jambura Journal of Mathematics
נושאים:
adaptive gaussian kernel
gwlr
logistic regression
mle
poverty
גישה מקוונת:https://ejurnal.ung.ac.id/index.php/jjom/article/view/11452
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