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http://dx.doi.org/10.5351/CKSS.2006.13.3.669

Comparison of Small Area Estimations by Sample Sizes  

Kim, Jung-O (Department of Statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
Publication Information
Communications for Statistical Applications and Methods / v.13, no.3, 2006 , pp. 669-683 More about this Journal
Abstract
Model-based methods are generally used for small area estimation. Recently Shin and Lee (2003) suggested a method which used spatial correlations between areas for data set including some auxiliary variables. However in case of absence of auxiliary variables, Direct estimator is used. Even though direct estimator is unbiased, the large variance of the estimator restricts the use for small area estimation. In this paper, we suggest new estimators which take into account spatial correlation when auxiliary variables are not available. We compared Direct estimator and the newly suggested estimators using MSE, MAE and MB.
Keywords
Direct estimator; spatial correlation; SAR model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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