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http://dx.doi.org/10.5351/KJAS.2012.25.3.457

Small Area Estimation via Nonparametric Mixed Effects Model  

Jeong, Seok-Oh (Department of Statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
Publication Information
The Korean Journal of Applied Statistics / v.25, no.3, 2012 , pp. 457-464 More about this Journal
Abstract
Small area estimation is a statistical inference method to overcome the large variance due to the small sample size allocated in a small area. Recently some nonparametric estimators have been applied to small area estimation. In this study, we suggest a nonparametric mixed effect small area estimator using kernel smoothing and compare the small area estimators using labor statistics.
Keywords
Small area estimation; mixed effects model; nonparametric mixed effects model; kernel smoothing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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