Geodesic
Confidence regions in nonlinear regression models
Applications of Mathematics, Tome 37 (1992) no. 1, pp. 29-39 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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New curvature measures for nonlinear regression models are developed and methods of their computing are given. Using these measures, more accurate confidence regions for parameters than those based on linear or quadratic approximations are obtained.
New curvature measures for nonlinear regression models are developed and methods of their computing are given. Using these measures, more accurate confidence regions for parameters than those based on linear or quadratic approximations are obtained.
DOI : 10.21136/AM.1992.104489
Classification : 62F25, 62J02
Keywords: nonlinear regression; confidence regions; weak intrinsic and weak parameter-effects curvatures; linear approximation; curvature measures; quadratic approximations; likelihood ratios 
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Potocký, Rastislav; To, Van Ban. Confidence regions in nonlinear regression models. Applications of Mathematics, Tome 37 (1992) no. 1, pp. 29-39. doi: 10.21136/AM.1992.104489

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