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http://dx.doi.org/10.5351/KJAS.2005.18.2.411

Comparison of MIVQUE Estimators Using EQDGs for the One-way Random Model with Unbalanced Data  

Jung, Byoung-Cheol (Dept. of Statistics, Sungshin University)
Publication Information
The Korean Journal of Applied Statistics / v.18, no.2, 2005 , pp. 411-420 More about this Journal
Abstract
In this study, the MIVQUE estimators of variance components for the one-way random model with unbalanced data are investigated. In order to compare the efficiency of MIVQUE estimators obtained by using three priori estimates, the Empirical Quantile Dispersion Graphs (EQDGs) are used. From the results of Monte-Carlo study, the MIVQUE estimator using ${\sigma}^2_{\alpha}\;=\;0\;and\;{\sigma}^2_{varraho}=1$ as the priori estimate performs well relative to other estimators.
Keywords
MIVQUE; Variance components model; Priori value;
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