On non-negative estimation of variance components in mixed linear models

被引:9
|
作者
El Leithy, Heba A. [1 ]
Wahed, Zakaria A. Abdel [1 ]
Abdallah, Mohamed S. [1 ]
机构
[1] Cairo Univ, Fac Polit & Econ Sci, Dept Stat, Cairo, Egypt
关键词
AUE; MINQUE; Negative estimates; Quantile dispersion graphs; Restricted maximum likelihood; Variance components; DESIGNS;
D O I
10.1016/j.jare.2015.02.001
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Alternative estimators have been derived for estimating the variance components according to Iterative Almost Unbiased Estimation (IAUE). As a result two modified IAUEs are introduced. The relative performances of the proposed estimators and other estimators are studied by simulating their bias, Mean Square Error and the probability of getting negative estimates under unbalanced nested-factorial model with two fixed crossed factorial and one nested random factor. Finally the Empirical Quantile Dispersion Graph (EQDG), which provides a comprehensive picture of the quality of estimation, is depicted corresponding to all the studied methods. (C) 2015 Production and hosting by Elsevier B.V. on behalf of Cairo University.
引用
收藏
页码:59 / 68
页数:10
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