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The error‐in‐variables model applied to parameter estimation when the error covariance matrix is unknown

 

作者: Scott E. Keeler,   Park M. Reilly,  

 

期刊: The Canadian Journal of Chemical Engineering  （WILEY Available online 1991）
卷期: Volume 69, issue 1  

页码: 27-34

 

ISSN:0008-4034

 

年代: 1991

 

DOI:10.1002/cjce.5450690104

 

出版商: Wiley Subscription Services, Inc., A Wiley Company

 

关键词: parameter estimation;implicit regression;Bayesian estimation;error‐in‐variables model;EVM;measurement error models

 

数据来源: WILEY

 

摘要:

AbstractThis paper presents a method for Error‐in‐Variables Model (EVM) analysis when there is no prior knowledge of the error structure, but there is replication in the data. The method is presented, with examples, for cases where the error structure varies among the data, and for cases where the error structure is constant over all the data. The minimum amount of replication needed is discussed and posterior probability density functions are developed for the parameters. The results are an extension of the work of previous auth

 

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