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All Journal Jurnal Aplikasi Statistika & Komputasi Statistik
Nofita Istiana
nofita@stis.ac.id
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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PENDUGAAN AREA KECIL DENGAN EXCESS ZERO (STUDI KASUS: ANGKA KEMATIAN BAYI DI PULAU JAWA) Nofita Istiana
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 13 No 1 (2021): Jurnal Aplikasi Statistika dan Komputasi Statistik
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v13i1.270

Abstract

Infant Mortality Rate (IMR) is an important indicator because it can be used to compare health status between populations. IMR is obtained from Demographic and Health Survey (DHS) where the level of estimation is designed for national and provincial level. The decentralization system makes the importance of IMR for sub-domain of province such as district/municipality level. Small area estimation (SAE) can be used for estimating IMR in district/municipality level by using a mixed model. IMR is count data with small probability, so the distribution is Poisson. Poisson model assumes that mean equal to variance, but this assumption is often violated. One of the reasons is excess zero. In this study, Zero Inflated Poisson (ZIP) mixed model is much better than Poisson mixed model and can improve the direct estimation of IMR.
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