MIXED GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) WITH ADAPTIVE WEIGHTING FUNCTION IN POVERTY MODELING IN NTT PROVINCE

MIXED GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) WITH ADAPTIVE WEIGHTING FUNCTION IN POVERTY MODELING IN NTT PROVINCE

Poverty modeling is a crucial economic and social development issue in various regions, including in East Nusa Tenggara (NTT) Province. This research proposes using the Mixed Geographically Weighted Regression (MGWR) model with an adaptive Bisquare weighting function to analyze variables influencing...

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Bibliographic Details
Main Authors: Petrus Kanisius Ola, Atiek Iriany, Suci Astutik
Format: Article
Language:English
Published: Universitas Pattimura 2024-07-01
Series:Barekeng
Subjects:
poverty
gwr
mgwr
regression
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12969
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