Small Area Estimation Jumlah Penderita Penyakit TBC di Kabupaten Lombok Timur Menggunakan Metode Empirical Bayes
DOI:
https://doi.org/10.29303/emj.v1i1.9Keywords:
Empirical Bayes, Poisson-Gamma Model, Relative RiskAbstract
Empirical Bayes is one of small area estimation method that can be used to predict small area parameters. The small area is defined as a subpopulation of small sample sizes. Empirical Bayes is suitable for use in counted data with Poisson-Gamma model. The purpose of this research was to determine the sub-districts that have the highest risk in the number of people with TBC disease in East Lombok Regency. Based on the results, the analysis showed that sub-districts with the highest risk were Sukamulia Sub-district with 1.65543 value of relative risk in 2014, Sambelia Sub-district with 1.80396 value of relative risk in 2015, and Sambelia Sub-district with 4.12718 values ov relative risk in 2016.References
Rao, J.N.K. (2003). Small Area Estimation, Canada: John Wiley & Sons Inc.
Hadi, F. A., Nusyirwan., dan Notodiputro, K. A. (2008). Penduga Maksimum Likelihood untuk Parameter Dispersi Model Poisson-Gamma dalam Konteks Pendugaan Area Kecil, Seminar Nasional Matematika dan Pendidikan Matematika.
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Published
2018-06-30
How to Cite
Toyyibah, M., Komalasari, D., & Fitriyani, N. (2018). Small Area Estimation Jumlah Penderita Penyakit TBC di Kabupaten Lombok Timur Menggunakan Metode Empirical Bayes. EIGEN MATHEMATICS JOURNAL, 1(1), 35–38. https://doi.org/10.29303/emj.v1i1.9
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