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A stepwise procedure for the selection of nonlinear regression models

 

作者: H. Bunke,   B. Droge,  

 

期刊: Statistics  （Taylor Available online 1985）
卷期: Volume 16, issue 1  

页码: 35-45

 

ISSN:0233-1888

 

年代: 1985

 

DOI:10.1080/02331888508801822

 

出版商: Akademie-Verlag

 

关键词: Model selection;stepwise procedure;nonlinear regressin;computer programme

 

数据来源: Taylor

 

摘要:

A stepwise procedure is proposed for the selection of nonlinear regression models which, in some sense, compromises between the sum of squared residuals and the parameter dimension, trying to keep this dimension as low as possible. The procedure is based on asymptotic results. For the case of univariate regressin, a computer programme has been implemented. The problem of choosing the class of admitted models is also discussed

 

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