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Title: Variance components and nonlinearity (English)
Author: Kubáček, Lubomír
Author: Tesaříková, Eva
Language: English
Journal: Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
ISSN: 0231-9721
Volume: 45
Issue: 1
Year: 2006
Pages: 89-101
Summary lang: English
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Category: math
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Summary: Unknown parameters of the covariance matrix (variance components) of the observation vector in regression models are an unpleasant obstacle in a construction of the best estimator of the unknown parameters of the mean value of the observation vector. Estimators of variance componets must be utilized and then it is difficult to obtain the distribution of the estimators of the mean value parameters. The situation is more complicated in the case of nonlinearity of the regression model. The aim of the paper is to contribute to a solution of the mentioned problem. (English)
Keyword: variance components
Keyword: nonlinear regression model
Keyword: linearization region
Keyword: insensitiveness region
MSC: 62F10
MSC: 62H12
MSC: 62J02
MSC: 62J05
MSC: 62N02
idZBL: Zbl 1117.62058
idMR: MR2321301
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Date available: 2009-08-21T07:06:22Z
Last updated: 2012-05-04
Stable URL: http://hdl.handle.net/10338.dmlcz/133450
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Reference: [3] Kubáček L.: Linear model with inaccurate variance components.Appl. of Math. 41, 1996, 433–445. MR 1415250
Reference: [4] Kubáček L., Kubáčková L.: Regression models with a weak nonlinearity.Technical report Nr. 1998.1, Universität Stuttgart, 1998, 1–67.
Reference: [5] Kubáček L., Kubáčková L.: Testing statistical hypotheses in deformation measurement; one generalization of the Scheffé theorem.Acta Univ. Palacki. Olomuc., Fac. rer. nat., Math. 37 (1998), 81–88. Zbl 0955.62061, MR 1690476
Reference: [6] Kubáček L., Kubáčková L.: Statistics, Metrology. : Vyd. Univ. Palackého, Olomouc., 2000 (in Czech).
Reference: [7] Rao C. R., Mitra S. K.: Genaralized Inverse of Matrices, its Applications. : John Wiley & Sons, New York– London–Sydney–Toronto., 1971. MR 0338013
Reference: [8] Rao C. R., Kleffe J.: Estimation of Variance Components, Applications. : North–Holland, Amsterdam–New York–Oxford–Tokyo., 1988. MR 0933559
Reference: [9] Tesaříková E., Kubáček L.: Variance componens and nonlinearity.Demoprogram, Department of Algebra and Geometry, Faculty of Science, Palacký University, Olomouc, 2005. MR 2321301
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