Journal of Mathematics UNP

About The Authors

Riki Wahyudi
Bengkulu University
Indonesia

Statistics Masters Student

Yulian Fauzi
Universitas Bengkulu
Indonesia

Jose Rizal
Universitas Bengkulu
Indonesia

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Home > Vol 8, No 2 (2023) > Wahyudi
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How to cite (IEEE): R. Wahyudi, Y. Fauzi, & J. Rizal "ANALISIS KEMISKINAN EKSTREM PROVINSI BENGKULU MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) DENGAN PEMBOBOT ADAPTIVE GAUSSIAN KERNEL DAN ADAPTIVE BI-SQUARE," Journal of Mathematics UNP, vol. 8, no. 2, , pp. 134-149, Jul. 2023. https://doi.org/10.24036/unpjomath.v8i2.14914
How to cite (APA): Wahyudi, R., Fauzi, Y., & Rizal, J. (2023). ANALISIS KEMISKINAN EKSTREM PROVINSI BENGKULU MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) DENGAN PEMBOBOT ADAPTIVE GAUSSIAN KERNEL DAN ADAPTIVE BI-SQUARE. Journal of Mathematics UNP, 8(2), 134-149. https://doi.org/10.24036/unpjomath.v8i2.14914
How to cite (Chicago): Wahyudi, Riki, Fauzi, Yulian, AND Rizal, Jose. "ANALISIS KEMISKINAN EKSTREM PROVINSI BENGKULU MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) DENGAN PEMBOBOT ADAPTIVE GAUSSIAN KERNEL DAN ADAPTIVE BI-SQUARE" Journal of Mathematics UNP [Online], Volume 8 Number 2 (10 July 2023) https://doi.org/10.24036/unpjomath.v8i2.14914
How to cite (Vancouver): Wahyudi R, Fauzi Y, & Rizal J . ANALISIS KEMISKINAN EKSTREM PROVINSI BENGKULU MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) DENGAN PEMBOBOT ADAPTIVE GAUSSIAN KERNEL DAN ADAPTIVE BI-SQUARE. Journal of Mathematics UNP [Online]. 2023 Jul; 8(2):134-149. https://doi.org/10.24036/unpjomath.v8i2.14914
How to cite (Harvard): Wahyudi, R., Fauzi, Y., & Rizal, J. ,2023. ANALISIS KEMISKINAN EKSTREM PROVINSI BENGKULU MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) DENGAN PEMBOBOT ADAPTIVE GAUSSIAN KERNEL DAN ADAPTIVE BI-SQUARE. Journal of Mathematics UNP, [Online] 8(2), pp. 134-149. https://doi.org/10.24036/unpjomath.v8i2.14914
How to cite (MLA8): Wahyudi, Riki, Yulian Fauzi, & Jose Rizal. "ANALISIS KEMISKINAN EKSTREM PROVINSI BENGKULU MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) DENGAN PEMBOBOT ADAPTIVE GAUSSIAN KERNEL DAN ADAPTIVE BI-SQUARE." Journal of Mathematics UNP [Online], 8.2 (2023): 134-149. Web. 4 Dec. 2024 , https://doi.org/10.24036/unpjomath.v8i2.14914

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@article{