Small Area Estimation Jumlah Penderita Penyakit TBC di Kabupaten Lombok Timur Menggunakan Metode Empirical Bayes

Authors

  • Muslimatun Toyyibah Universitas Mataram
  • Desy Komalasari
  • Nurul Fitriyani

DOI:

https://doi.org/10.29303/emj.v1i1.9

Keywords:

Empirical Bayes, Poisson-Gamma Model, Relative Risk

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.

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

Issue

Vol. 1 No. 1: Juni 2018

Section

Articles

License

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).

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