Geographically weighted negative binomial regression for spatial count data: Methodology and application
- DOI
- 10.1016/j.mex.2026.103919
- Published
- 2026-06
- Container
- MethodsX
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mex.2026.103919,
title = {Geographically weighted negative binomial regression for spatial count data: Methodology and application},
author = {Toha Saifudin and Nur Chamidah and Nur Azizah and Fayza Shafira Renianti and Nashwa Carista and Irsyad Yoga Adyatma and Izhar Muhammad Tianda},
year = {2026},
journal = {MethodsX},
doi = {10.1016/j.mex.2026.103919},
url = {https://doi.org/10.1016/j.mex.2026.103919}
}RIS
TY - JOUR TI - Geographically weighted negative binomial regression for spatial count data: Methodology and application AU - Toha Saifudin AU - Nur Chamidah AU - Nur Azizah AU - Fayza Shafira Renianti AU - Nashwa Carista AU - Irsyad Yoga Adyatma AU - Izhar Muhammad Tianda PY - 2026 JO - MethodsX DO - 10.1016/j.mex.2026.103919 UR - https://doi.org/10.1016/j.mex.2026.103919 ER -
APA
Saifudin, T., Chamidah, N., Azizah, N., Renianti, F. S., Carista, N., Adyatma, I. Y., & Tianda, I. M. (2026). Geographically weighted negative binomial regression for spatial count data: Methodology and application. MethodsX. https://doi.org/10.1016/j.mex.2026.103919
Source records
- crossref · retrieved 2026-09-25T11:52:56.956Z