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Minimum Variance Quadratic Unbiased Estimation (MIVQUE) of Variance Components

 

作者: WilliamH. Swallow,   S.R. Searle,  

 

期刊: Technometrics  （Taylor Available online 1978）
卷期: Volume 20, issue 3  

页码: 265-272

 

ISSN:0040-1706

 

年代: 1978

 

DOI:10.1080/00401706.1978.10489671

 

出版商: Taylor & Francis Group

 

关键词: Variance component estimation;Minimum variance estimation;Variance components;MIVQUE;Linear models

 

数据来源: Taylor

 

摘要:

Minimum variance quadratic unbiased estimators (MIVQUE's) of variance components from unbalanced data are obtained for the one-way classification random model under normality. Explicit, computable expressions are given for the estimators, their variances, and their covariance. The variance expressions provide readily-calculated lower bounds for the variances of any quadratic unbiased estimators of the variance components.

 

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