Geodesic
Outliers in models with constraints
Kybernetika, Tome 42 (2006) no. 6, pp. 673-698

Voir la notice de l'article provenant de la source Czech Digital Mathematics Library

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.
Classification : 62F10, 62F30, 62F35, 62H12, 62J05, 62J20
Keywords: univariate regression model; multivariate regression model; constraints; outlier; variance components 
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     author = {Kub\'a\v{c}ek, Lubom{\'\i}r},
     title = {Outliers in models with constraints},
     journal = {Kybernetika},
     pages = {673--698},
     publisher = {mathdoc},
     volume = {42},
     number = {6},
     year = {2006},
     mrnumber = {2296508},
     zbl = {1249.62005},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_2006__42_6_a3/}
}
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Kubáček, Lubomír. Outliers in models with constraints. Kybernetika, Tome 42 (2006) no. 6, pp. 673-698. http://geodesic.mathdoc.fr/item/KYB_2006__42_6_a3/