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A Note onD-Optimal Designs for Partially Nonlinear Regression Models

 

作者: A.I. Khuri,  

 

期刊: Technometrics  （Taylor Available online 1984）
卷期: Volume 26, issue 1  

页码: 59-61

 

ISSN:0040-1706

 

年代: 1984

 

DOI:10.1080/00401706.1984.10487922

 

出版商: Taylor & Francis Group

 

关键词: LocallyD-optimal designs for parameter subsets;Linear and nonlinear parameters;Fisher's information matrix

 

数据来源: Taylor

 

摘要:

Hill (1980) states that aD-optimal design for the estimation of a subset of the parameter vector in a partially nonlinear model depends on only those parameters that appear nonlinearly in the model. In this note we demonstrate that Hill's statement is incorrect and present a suffkient condition under which it is valid.

 

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