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Parametric Augmentations and Error Structures under which Certain Simple Least Squares and Analysis of Variance Procedures are Also Best

 

作者: George Zyskind,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1969）
卷期: Volume 64, issue 328  

页码: 1353-1368

 

ISSN:0162-1459

 

年代: 1969

 

DOI:10.1080/01621459.1969.10501062

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Conditions are presented under which inalllinear models with a common specified systematic part every linear simple least squares estimator is also best. The behaviour of mean squares and test ratios in ordinary analysis of variance tables under these and also less stringent conditions is discussed with illustrative examples given.

 

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