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The Augmentation of Experimental Data to Maximize [X′X]

 

作者: Otto Dykstra,  

 

期刊: Technometrics  （Taylor Available online 1971）
卷期: Volume 13, issue 3  

页码: 682-688

 

ISSN:0040-1706

 

年代: 1971

 

DOI:10.1080/00401706.1971.10488830

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

A method for augmenting experimental data to maximize [X′X] is developed. The rule is: scan a list of candidates and find the conditions in the experimental space where the variance of a predicted response is the greatest and obtain the next run at those conditions. The method is applicable for any form of the model. Illustrations are included.

 

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