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http://dx.doi.org/10.5351/KJAS.2006.19.3.421

Small Area Estimation Using Bayesian Auto Poisson Model with Spatial Statistics  

Lee, Sang-Eun (Dept. of Applied and Information Statistics, Kyonggi University)
Publication Information
The Korean Journal of Applied Statistics / v.19, no.3, 2006 , pp. 421-430 More about this Journal
Abstract
In sample survey sample designs are performed by geographically-based domain such as countries, states and metropolitan areas. However mostly statistics of interests are smaller domain than sample designed domain. Then sample sizes are typically small or even zero within the domain of interest. Shin and Lee(2003) mentioned Spatial Autoregressive(SAR) model in small area estimation model-based method and show the effectiveness by MSE. In this study, Bayesian Auto-Poisson Model is applied in model-based small area estimation method and compare the results with SAR model using MSE ME and bias check diagnosis using regression line. In this paper Survey of Disability, Aging and Cares(SDAC) data are used for simulation studies.
Keywords
Bayesian Auto Poisson Model; Spatial Autoregressive model; Spatial Correlations;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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