Small Area Estimation Jumlah Penderita Penyakit TBC di Kabupaten Lombok Timur Menggunakan Metode Empirical Bayes
| Main Authors: | Toyyibah, Muslimatun, Komalasari, Desy, Fitriyani, Nurul |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | ind |
| Terbitan: |
Program Studi Matematika, Universitas Mataram
, 2018
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| Subjects: | |
| Online Access: |
http://www.eigen.unram.ac.id/index.php/eigen/article/view/9 http://www.eigen.unram.ac.id/index.php/eigen/article/view/9/11 |
Daftar Isi:
- 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.