Outliers in models with constraints

Lubomír Kubáček

Kybernetika (2006)

  • Volume: 42, Issue: 6, page 673-698
  • ISSN: 0023-5954

Abstract

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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.

How to cite

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Kubáček, Lubomír. "Outliers in models with constraints." Kybernetika 42.6 (2006): 673-698. <http://eudml.org/doc/33832>.

@article{Kubáček2006,
abstract = {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.},
author = {Kubáček, Lubomír},
journal = {Kybernetika},
keywords = {univariate regression model; multivariate regression model; constraints; outlier; variance components; univariate regression model; multivariate regression model; constraints; variance components},
language = {eng},
number = {6},
pages = {673-698},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Outliers in models with constraints},
url = {http://eudml.org/doc/33832},
volume = {42},
year = {2006},
}

TY - JOUR
AU - Kubáček, Lubomír
TI - Outliers in models with constraints
JO - Kybernetika
PY - 2006
PB - Institute of Information Theory and Automation AS CR
VL - 42
IS - 6
SP - 673
EP - 698
AB - 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.
LA - eng
KW - univariate regression model; multivariate regression model; constraints; outlier; variance components; univariate regression model; multivariate regression model; constraints; variance components
UR - http://eudml.org/doc/33832
ER -

References

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  5. Kubáček L., Kubáčková, L., Volaufová J., Statistical Models with Linear Structures, Veda, Bratislava 1995 
  6. Kubáček L., Kubáčková L., Nonsensitiveness regions in universal models, Math. Slovaca 50 (2000), 219–240 Zbl0984.62040MR1763121
  7. Lešanská E., Insensitivity regions in mixed models (in Czech), Ph.D. Thesis. Faculty of Science, Palacký University, Olomouc 2001 
  8. Lešanská E., Insensitivity regions for testing hypotheses in mixed models with constraints, Tatra Mt. Math. Publ. 22 (2001), 209–222 Zbl1001.62011MR1889046
  9. Lešanská E., 10.1023/A:1021750700055, Appl. Math. 47 (2002), 9–23 MR1876489DOI10.1023/A:1021750700055
  10. Rao C. R., Mitra S. K., Generalized Inverse of Matrices and Its Applications, Wiley, New York 1971 Zbl0261.62051MR0338013
  11. Rao C. R., Kleffe J., Estimation of Variance Components and Applications, North–Holland, Amsterdam 1988 Zbl0645.62073MR0933559
  12. Scheffé H., The Analysis of Variance, Wiley, New York 1959 Zbl0998.62500MR0116429
  13. Zvára K., Regression Analysis (in Czech), Academia, Praha 1989 

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