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Linearization Regions in Singular Weakly Nonlinear Regression Models with Constraints

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Veröffentlicht/Copyright: 9. Dezember 2015
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Abstract

A linearization of nonlinear regression models is frequently used in practice. A recognition whether it can be done need some additional investigation. Some problems occur when constraints are involved in the model mainly when the model is singular. One possible solution is given in the paper.

References

[1] FIŠEROVÁ, E.-KUBÁČEK, L.-KUNDEROVÁ, P.: Linear Statistical Models; Regularity and Singularities, Academia, Praha, 2007.Suche in Google Scholar

[2] KUBÁČEK, L.-TESAŘÍKOVÁ, E.: Weakly Nonlinear Regression Models, Palack´y University, Olomouc, 2008.Suche in Google Scholar

[3] KUBÁČEK, L.: A measure of nonlinearity in singular regression models, Math. Slovaca 59 (2009), 535-644.10.2478/s12175-009-0146-zSuche in Google Scholar

[4] KUBÁČEK, L.: Reparametrization of weakly nonlinear regression models with constraints, Math. Slovaca (Submitted).Suche in Google Scholar

[5] RAO, C. R.-MITRA, S. K.: Generalized Inverse of Matrices and Its Applications, John Wiley & Sons, Inc., New York-London-Sydney-Toronto, 1971.Suche in Google Scholar

[6] SCHEFFÉ, H.: The Analysis of Variance (5th ed.), J. Wiley, New York-London-Sydney, 1967.Suche in Google Scholar

Received: 2012-10-23
Accepted: 2013-1-23
Published Online: 2015-12-9
Published in Print: 2015-10-1

Mathematical Institute Slovak Academy of Sciences

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