Comparison between binomial generalized linear mixmodels (binomial GLMM) and Beta-Binomial hierarchical generalized linear model (Beta- BinomialHGLM) for modeling poverty data in West Java-Reference-Cited by-同舟云学术

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Comparison between binomial generalized linear mixmodels (binomial GLMM) and Beta-Binomial hierarchical generalized linear model (Beta- BinomialHGLM) for modeling poverty data in West Java

Published:2022 Issue: Volume: Page:
ISSN:0094-243X
Container-title:INTERNATIONAL CONFERENCE ON STATISTICS AND DATA SCIENCE 2021
language:
Short-container-title:

Author:

Rohimah Siti Rohmah,Notodiputro Khairil Anwar,Sartono Bagus

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0112033

Reference12 articles.

1. Angraeni Y., Notodiputro, K.A., and Sadik, K. 2016. Model Campuran Linear Terampat dalam Pemodelan Spesies dan Stok Ikan di Sungai Na Thap-Thailand Selatan.

2. Badan Pusat Statistik. Data Persentase Penduduk Miskin Menurut Kabupaten/Kota.[ https://www.bps.go.id/indicator/23/621/1/persentase-penduduk-miskin-menurut-kabupaten-kota.html|]

3. BPS Jawa Barat. Data Angka Harapan Hidup, Angka Harapan Lama Sekolah, Angka Partisipasi Sekolah, Jumlah Penduduk, Pengeluaran Perkapita, dan Upah Minimum Kabupaten/Kota di Jawa Barat. [https://www.jabar.bps.go.id|]

4. Johnson, RA and Wichern, DW (2007). Applied Multivariate Statistical Analysis.

5. McCulloch, CE and Searle, SR (2001). Generalized, linear, and mixed models.

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