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Submitted
June 4, 2018
Accepted
June 30, 2018
Published
June 30, 2018
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Abstract
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.
Keywords
Empirical Bayes
Poisson-Gamma Model
Relative Risk
Article Details
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All articles published in the Eigen Mathematics Journal will be available for free reading and downloading. The license applied to this journal is Creative Commons Attribution-Non-Commercial-Share Alike (CC BY-NC-SA).
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
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.
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.