Jackknife-Based Estimators and Confidence Regions in Nonlinear Regression
作者:
JeffreyS. Simonoff,
Chih-Ling Tsai,
期刊:
Technometrics
(Taylor Available online 1986)
卷期:
Volume 28,
issue 2
页码: 103-112
ISSN:0040-1706
年代: 1986
DOI:10.1080/00401706.1986.10488111
出版商: Taylor & Francis Group
关键词: Curvature effects;Outliers;Leverage points
数据来源: Taylor
摘要:
The properties of several jackknife-based estimators are investigated in the context of the nonlinear regression model. These estimators are suggested to overcome lack of balance of the design and the nonlinearity of the model. It is shown that a reweighted estimator combined with a modified variance estimate provides a technique that is reasonably robust with respect to outliers, leverage points, and curvature effects. Several examples are presented to illustrate these properties.
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