In: Mathematica Slovaca, vol. 65, no. 2
Lubomír Kubaček
Details:
Year, pages: 2015, 405 - 428
Keywords:
measures of nonlinearity, singularity, models with constraints, linearization region
About article:
Weakly nonlinear hypothesis on parameters in nonlinear regression models can be tested by methods of linear statistical models in some cases. Certain conditions must be satisfied. The aim of the paper is to find them for models without/with constraints on parameters.
How to cite:
ISO 690:
Kubaček, L. 2015. Testing statistical hypotheses in singular weakly nonlinear regression models. In Mathematica Slovaca, vol. 65, no.2, pp. 405-428. 0139-9918. DOI: https://doi.org/10.1515/ms-2015-0031
APA:
Kubaček, L. (2015). Testing statistical hypotheses in singular weakly nonlinear regression models. Mathematica Slovaca, 65(2), 405-428. 0139-9918. DOI: https://doi.org/10.1515/ms-2015-0031
About edition:
Published: 1. 4. 2015