ANALISIS EFEKTIVITAS MODEL GEOGRAPHICALLY WEIGHTED QUANTILE REGRESSION (GWQR) DALAM PENANGANAN OUTLIER: DATA SIMULASI TERIDENTIFIKASI HETEROGENITAS SPASIAL
Regresi kuantil klasik bersifat global dengan hasil estimasi parameter yang general, kondisi heterogenitas spasial tidak dapat ditangkap oleh model ini. Penggunaan model lokal dengan atribRegresi kuantil klasik bersifat global dengan hasil estimasi parameter yang general, kondisi heterogenitas spasi...
Saved in:
| Main Authors: | Febrya Christin Handayani Buan, Zofar Agluis Banunaek, Widya Reza |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Nusa Cendana
2024-02-01
|
| Series: | Jurnal Diferensial |
| Subjects: | |
| Online Access: | https://ejurnal.undana.ac.id/index.php/JD/article/view/12782 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modeling the spatial relationship between bike-sharing stations and urban centrality using geographical weight variables
by: Jianyu Li, et al.
Published: (2025-08-01) -
POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA
by: Yekti Widyaningsih, et al.
Published: (2023-09-01) -
Analisis Faktor Spasial Terhadap Kejadian Demam Berdarah Dengue Menggunakan Pendekatan Geographically Weighted Regression di Kota Pekanbaru, Provinsi Riau
by: Eggy Arya Giofandi, et al.
Published: (2023-12-01) -
Estimasi distribusi PDRB kawasan Kedungsepur secara spasial menggunakan Geographically Weighted Regression untuk mendukung pengembangan wilayah
by: Adik Amin Nashrudien, et al.
Published: (2025-03-01) -
Examining spatial variations in the relationship between domestic energy consumption and its driving factors using multiscale geographically weighted regression: a case study in Nottingham, England
by: Yuan Feng, et al.
Published: (2025-05-01)