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Estimation in a Two Variance Components Model When one Component is Known

 

作者: Olivier Gaudoin,   Christian Lavergne,  

 

期刊: Statistics  （Taylor Available online 1994）
卷期: Volume 25, issue 2  

页码: 97-106

 

ISSN:0233-1888

 

年代: 1994

 

DOI:10.1080/02331889408802436

 

出版商: Gordon & Breach Science Publishers

 

关键词: MINQE;least squares;regression

 

数据来源: Taylor

 

摘要:

We study a mixed linear model with two variance components. We suppose that one component is known. The objective of the paper is the estimation of the unknown component. The usual MINQE estimators seem to be unadapted to the problem. So we propose a new family of quadratic estimators, based on a natural class of estimators and the idea upon which the MINQE theory is built. All the estimators are compared on simulated data.

 

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