Journal of the Korean Data and Information Science Society
- Volume 15 Issue 3
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- Pages.689-694
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- 2004
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- 1598-9402(pISSN)
A Note on Test for Model Adequacy in Nonlinear Regression
- Kahng, Myung-Wook (Department of Statistics, Sookmyung Women's University)
- Published : 2004.08.31
Abstract
We investigate the test for model adequacy in nonlinear regression. We can expect the usual likelihood ratio statistic to be unaffected by any parametric- effect curvature; only the effect of intrinsic curvature needs to be considered. Multiplicative correction factor is derived for the limiting distribution of test statistic, which is a function of the intrinsic curvature arrays.
Keywords
- Correction factor;
- Intrinsic curvature;
- Intrinsic curvature array;
- Model adequacy;
- Parametric-effect curvature