APPLICATION OF NONPARAMETRIC GEOGRAPHICALLY WEIGHTED REGRESSION METHOD ON OPEN UNEMPLOYMENT RATE DATA IN INDONESIA

APPLICATION OF NONPARAMETRIC GEOGRAPHICALLY WEIGHTED REGRESSION METHOD ON OPEN UNEMPLOYMENT RATE DATA IN INDONESIA

Nonparametric Geographically Weighted Regression (NGWR) model is a development of nonparametric regression with geographic weights for spatial data where parameter estimators are local to each observation location. NGWR is used to obtain the best model for the Open Unemployment Rate (OUR) data in In...

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Bibliographic Details
Main Authors: Marisa Nanda Saputri, Sifriyani Sifriyani, Wasono Wasono
Format: Article
Language:English
Published: Universitas Pattimura 2023-12-01
Series:Barekeng
Subjects:
nonparametric
regression
spline
spatial data
unemployment
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9460
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