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Title: Outliers in models with constraints (English)
Author: Kubáček, Lubomír
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 42
Issue: 6
Year: 2006
Pages: 673-698
Summary lang: English
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Category: math
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Summary: Outliers in univariate and multivariate regression models with constraints are under consideration. The covariance matrix is assumed either to be known or to be known only partially. (English)
Keyword: univariate regression model
Keyword: multivariate regression model
Keyword: constraints
Keyword: outlier
Keyword: variance components
MSC: 62F10
MSC: 62F30
MSC: 62F35
MSC: 62H12
MSC: 62J05
MSC: 62J20
idZBL: Zbl 1249.62005
idMR: MR2296508
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Date available: 2009-09-24T20:20:04Z
Last updated: 2015-03-29
Stable URL: http://hdl.handle.net/10338.dmlcz/135744
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Reference: [9] Lešanská E.: Optimization of the size of nonsensitivity regions.Appl. Math. 47 (2002), 9–23 MR 1876489, 10.1023/A:1021750700055
Reference: [10] Rao C. R., Mitra S. K.: Generalized Inverse of Matrices and Its Applications.Wiley, New York 1971 Zbl 0261.62051, MR 0338013
Reference: [11] Rao C. R., Kleffe J.: Estimation of Variance Components and Applications.North–Holland, Amsterdam 1988 Zbl 0645.62073, MR 0933559
Reference: [12] Scheffé H.: The Analysis of Variance.Wiley, New York 1959 Zbl 0998.62500, MR 0116429
Reference: [13] Zvára K.: Regression Analysis (in Czech).Academia, Praha 1989
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