Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Accuracy of linear approximation for fitted values in nonlinear regression

  • Received : 2012.12.10
  • Accepted : 2013.01.08
  • Published : 2013.01.31
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Abstract

Bates and Watts (1981) have discussed the problems of reparameterizing nonlinear models in obtaining accurate linear approximation confidence regions for the parameters. A similar problem exists with computing confidence curves for fitted values or predictions. The statistical behavior of fitted values does not depend on the parameterization. Thus, as long as the intrinsic curvature is small, standard Wald intervals for fitted values are likely to be sufficient. Accuracy of linear approximation for fitted values is investigated using confidence curves.

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Acknowledgement

Supported by : Sookmyung Women's University

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