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Title: Variance of Plug-in Estimators in Multivariate Regression Models (English)
Author: Kubáček, Lubomír
Author: Vrbková, Jana
Language: English
Journal: Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
ISSN: 0231-9721
Volume: 52
Issue: 2
Year: 2013
Pages: 85-97
Summary lang: English
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Category: math
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Summary: Variance components in regression models are usually unknown. They must be estimated and it leads to a construction of plug–in estimators of the parameters of the mean value of the observation matrix. Uncertainty of the estimators of the variance components enlarge the variances of the plug–in estimators. The aim of the paper is to find this enlargement. (English)
Keyword: variance components
Keyword: plug-in estimator
Keyword: multivariate models
MSC: 62H12
MSC: 62J05
idZBL: Zbl 06296017
idMR: MR3202382
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Date available: 2013-12-18T15:24:27Z
Last updated: 2014-07-30
Stable URL: http://hdl.handle.net/10338.dmlcz/143541
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Reference: [1] Fišerová, E., Kubáček, L., Kunderová, P.: Linear Statistical Models: Regularity and Singularities. Academia, Praha, 2007.
Reference: [2] Kubáček, L.: Multivariate Statistical Models Revisited. Vyd. University Palackého, Olomouc, 2008.
Reference: [3] Rao, C. R., Mitra, S. K.: Generalized Inverse of Matrices and its Applications. Wiley, New York–London–Sydney–Toronto, 1971. Zbl 0236.15005, MR 0338013
Reference: [4] Rao, C. R., Kleffe, J.: Estimation of Variance Components and Applications. North–Holland, Amsterdam–New York–Oxford–Tokyo, 1988. Zbl 0645.62073, MR 0933559
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