Muslimatun Toyyibah, D. Komalasari, Nurul Fitriyani
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摘要

经验贝叶斯是一种小面积估计方法,可以用来预测小面积参数。小区域被定义为小样本量的亚种群。经验贝叶斯适合用泊松-伽马模型计算数据。这项研究的目的是确定东龙目县患TBC病人数风险最高的分区。根据分析结果,2014年风险最高的街道为苏卡穆里亚街道,相对风险值为1.65543;2015年为桑贝利亚街道,相对风险值为1.80396;2016年为桑贝利亚街道,相对风险值为4.12718。
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Small Area Estimation Jumlah Penderita Penyakit TBC di Kabupaten Lombok Timur Menggunakan Metode Empirical Bayes
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.
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