The Small Area Estimation by Using Empirical Bayes Method

DOI

10.2991/assehr.k.210227.058How to use a DOI?

Keywords

Empirical Bayesian, Small Area Estimation, Poisson-gamma Model

Abstract

The Small Area Estimation (SAE) is useful for estimating subpopulation parameters with small sample size. Various methods have been developed to estimate the area parameters, especially model-based methods. The Empirical Bayes is a method that can be used to estimate small area parameters. A small area is defined as a subpopulation (area) that is the size of a small sample. This Empirical Bayes method is suitable for use in counted data with the Poisson-Gamma model in addition to the Bayesian Hierarchical method. The purpose of this study was to examine the use of the empirical Bayes method in small area statistical estimation based on the Poisson-Gamma model with accompanying variables. The results showed that SAE for discrete data, namely the Empirical Bayes relative risk estimator from the Poisson-Gamma model with accompanying variables, gave estimation results with higher accuracy than the direct estimator of Standardized Mortality Ratio (SMR).

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Nurul Astuty Yensy
PY  - 2021
DA  - 2021/03/01
TI  - The Small Area Estimation by Using Empirical Bayes Method
BT  - Proceedings of the International Conference on Educational Sciences and Teacher Profession (ICETeP 2020)
PB  - Atlantis Press
SP  - 343
EP  - 347
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210227.058
DO  - 10.2991/assehr.k.210227.058
ID  - Yensy2021
ER  -