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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
Correction factor; Intrinsic curvature; Intrinsic curvature array; Model adequacy; Parametric-effect curvature; Correction factor; Intrinsic curvature; Intrinsic curvature array; Model adequacy; Parametric-effect curvature
- 제목
- A Note on Test for Model Adequacy in Nonlinear Regression
- 저자
- 강명욱
- 발행일
- 2004-09
- 저널명
- 한국데이터정보과학회지
- 권
- 15
- 호
- 3
- 페이지
- 689 ~ 694