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http://dx.doi.org/10.5351/KJAS.2008.21.1.109

Shrinkage Prediction for Small Area Estimations  

Hwang, Hee-Jin (Dept. of Statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Dept. of Statistics, Hankuk University of Foreign Studies)
Publication Information
The Korean Journal of Applied Statistics / v.21, no.1, 2008 , pp. 109-123 More about this Journal
Abstract
Many small area estimation methods have been suggested. Also for the comparison of the estimation methods, model diagnostic checking techniques have been studied. Almost all of the small area estimators were developed by minimizing MSE(Mean square error) and so the MSE is the well-known comparison criterion for superiority. In this paper we suggested a new small area estimator based on minimizing MSPE(Mean square percentage error) which is recently re-highlighted. Also we compared the new suggested estimator with the estimators explained in Shin et al. (2007) using MSE, MSPE and other diagnostic checking criteria.
Keywords
Small area estimation methods; spatial statistics; shrinkage predictor; MSPE(Mean square percentage error);
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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