"Confidence Regions in Nonlinear Models with Constraints" . "CZ - \u010Cesk\u00E1 republika" . "Acta Universitatis Palackianae Olomucensis, Facultas Rerum Naturalium, Mathematica" . . "Z(MSM 153100011)" . "N" . . "Confidence Regions in Nonlinear Models with Constraints"@en . . "[0F46FCF61B5B]" . "Confidence Regions in Nonlinear Models with Constraints"@en . "RIV/61989592:15410/03:00001421!RIV/2004/MSM/154104/N" . "43-58" . "Confidence Regions in Nonlinear Models with Constraints"@cs . . . . "There are some difficulties in a construction of confidence regions in nonlinear models with constraints. Even the exact algorithm (in the case of normality) can be derived, the numerical calculation is rather tedious. Thus if a simple algorithm can be find it will be preferred in practice. The aim of the paper is to find a simple criterion which enables us to decide whether it is possible to use algorithms used in linear models." . . . . "2"^^ . . . . . "16"^^ . "0"^^ . "42" . "15410" . "2"^^ . "0"^^ . . "Kub\u00E1\u010Dek, Lubom\u00EDr" . . . "nonlinear model , models with constraints, confidence region, measures of nonlinearity."@en . "602010" . "0231-9721" . "Tesa\u0159\u00EDkov\u00E1, Eva" . "Confidence Regions in Nonlinear Models with Constraints"@cs . "There are some difficulties in a construction of confidence regions in nonlinear models with constraints. Even the exact algorithm (in the case of normality) can be derived, the numerical calculat ion is rather tedious. Thus if a simple algorithm can be find it will be preferred in practice. The aim of the paper is to find a simple criterion which enables us to decide whether it is possible to use algorithms used in linear models."@en . "Confidence Regions in Nonlinear Models with Constraints" . . "RIV/61989592:15410/03:00001421" .