Journal of the Korean Data and Information Science Society
- 제15권3호
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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
초록
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.
키워드