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Leverage and Superleverage in Nonlinear Regression

 

作者: RoyT. St Laurent,   R.Dennis Cook,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1992）
卷期: Volume 87, issue 420  

页码: 985-990

 

ISSN:0162-1459

 

年代: 1992

 

DOI:10.1080/01621459.1992.10476253

 

出版商: Taylor & Francis Group

 

关键词: Diagnostic;Influential observation;Prediction

 

数据来源: Taylor

 

摘要:

Several measures of the leverage of an observation in a nonlinear regression model are defined and developed. In contrast to the upper bound on the leverage in a linear model, it is found that in a nonlinear model the leverage of an observation may exceed 1. Such a case is said to exhibit superleverage. Relationships between the leverage measures are explored, and several examples are developed to illustrate the proposed methodology.

 

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