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.
Highlights
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
Summary
Metode empirical Bayes merupakan metode yang cocok digunakan dalam menangani data biner dan data cacahan pada SAE. Metode empirical Bayes pada SAE (Rao, 2003): 1. Mendapatkan fungsi kepadatan peluang akhir (posterior) dari parameter area kecil yang menjadi perhatian; 2. Menduga parameter model dari fungsi kepadatan peluang marginal; dan. 3. Menggunakan fungsi kepekatan peluang posterior dugaan untuk membuat inferensi parameter area kecil yang menjadi perhatian
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