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Kybernetika 42(6):673-698, 2006.

Outliers in Models with Constraints

Lubomír Kubáček


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.


Keywords: univariate regression model; multivariate regression model; constraints; outlier; variance components;


AMS: 62J05;


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BIB TeX

@article{kyb:2006:6:673-698,

author = {Kub\'{a}\v{c}ek, Lubom\'\i{r} },

title = {Outliers in Models with Constraints},

journal = {Kybernetika},

volume = {42},

year = {2006},

number = {6},

pages = {673-698}

publisher = {{\'U}TIA, AV {\v C}R, Prague },

}


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