Reparametrization of weakly nonlinear regression models with constraints

Year, pages: 2016, 731 - 744

There are several ways how to redefine the Bates and Watts curvatures in models with constraints. One of possible approaches is based on a reparametrization of models. It enables us to construct linearization regions for the bias of parameter estimators, for the confidence regions, etc., in an easy way.

Kubáček, L. 2016. Reparametrization of weakly nonlinear regression models with constraints. In Mathematica Slovaca, vol. 66, no.3, pp. 731-744. 0139-9918. DOI: https://doi.org/10.1515/ms-2015-0175

Kubáček, L. (2016). Reparametrization of weakly nonlinear regression models with constraints. Mathematica Slovaca, 66(3), 731-744. 0139-9918. DOI: https://doi.org/10.1515/ms-2015-0175