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An Optimization Criterion for Linear Inverse Estimation

 

作者: G.H. Brown,  

 

期刊: Technometrics  （Taylor Available online 1979）
卷期: Volume 21, issue 4  

页码: 575-579

 

ISSN:0040-1706

 

年代: 1979

 

DOI:10.1080/00401706.1979.10489829

 

出版商: Taylor & Francis Group

 

关键词: “Wrong” regression;Integrated mean square error;Calibration;Inverse prediction

 

数据来源: Taylor

 

摘要:

Integrated mean square error is proposed as an optimizing criterion for the linear inverse estimation problem. Results are compared with the classical and inverse procedures. A generalization allowing for several predictor variables is considered.

 

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