Confidence regions in singular weakly nonlinear regression models with constraints

In: Mathematica Slovaca, vol. 66, no. 1

Lubomír Kubáček

Detaily:

Rok, strany: 2016, 287 - 304

Kľúčové slová:

confidence region, confidence ellipsoid, measures of nonlinearity, singularity, models with constraints, linearization region

DOI: https://doi.org/10.1515/ms-2015-0136

O článku:

It is rather complicated to construct the confidence region in nonlinear regression model mainly when number of parameters is large. If the nonlinearity of the model is weak, then it is possible, after some modification, to approximate the confidence region by a confidence ellipsoid in the linearized model. The aim of the paper is to propose a solution in singular models with constraints.

Ako citovať:

ISO 690:

Kubáček, L. 2016. Confidence regions in singular weakly nonlinear regression models with constraints. In Mathematica Slovaca, vol. 66, no.1, pp. 287-304. 0139-9918. DOI: https://doi.org/10.1515/ms-2015-0136

APA:

Kubáček, L. (2016). Confidence regions in singular weakly nonlinear regression models with constraints. Mathematica Slovaca, 66(1), 287-304. 0139-9918. DOI: https://doi.org/10.1515/ms-2015-0136

O vydaní:

Publikované: 1. 2. 2016