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Least Squares Analysis of Experimental Design Models by Augmenting the Data with Side Conditions

 

作者: DonaldW. Seegrist,  

 

期刊: Technometrics  （Taylor Available online 1973）
卷期: Volume 15, issue 3  

页码: 643-645

 

ISSN:0040-1706

 

年代: 1973

 

DOI:10.1080/00401706.1973.10489093

 

出版商: Taylor & Francis Group

 

关键词: Experimental Design Models;Side Conditions;Least Squares Solution

 

数据来源: Taylor

 

摘要:

One method of analyzing an experimental design model is to impose side conditions on the observational equations and then to solve the “reduced” model by least squares. The author demonstrates another method, which is not widely known: augment the data with the side conditions and then solve the “augmented” model by least squares.

 

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