Test of linear hypothesis in multivariate models
Kybernetika, Tome 43 (2007) no. 4, pp. 463-470.

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

In regular multivariate regression model a test of linear hypothesis is dependent on a structure and a knowledge of the covariance matrix. Several tests procedures are given for the cases that the covariance matrix is either totally unknown, or partially unknown (variance components), or totally known.
Classification : 62H15, 62J05
Keywords: multivariate model; linear hypothesis; variance components; insensitive region
@article{KYB_2007__43_4_a6,
     author = {Kub\'a\v{c}ek, Lubom{\'\i}r},
     title = {Test of linear hypothesis in multivariate models},
     journal = {Kybernetika},
     pages = {463--470},
     publisher = {mathdoc},
     volume = {43},
     number = {4},
     year = {2007},
     mrnumber = {2377924},
     zbl = {1134.62034},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_2007__43_4_a6/}
}
TY  - JOUR
AU  - Kubáček, Lubomír
TI  - Test of linear hypothesis in multivariate models
JO  - Kybernetika
PY  - 2007
SP  - 463
EP  - 470
VL  - 43
IS  - 4
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/KYB_2007__43_4_a6/
LA  - en
ID  - KYB_2007__43_4_a6
ER  - 
%0 Journal Article
%A Kubáček, Lubomír
%T Test of linear hypothesis in multivariate models
%J Kybernetika
%D 2007
%P 463-470
%V 43
%N 4
%I mathdoc
%U http://geodesic.mathdoc.fr/item/KYB_2007__43_4_a6/
%G en
%F KYB_2007__43_4_a6
Kubáček, Lubomír. Test of linear hypothesis in multivariate models. Kybernetika, Tome 43 (2007) no. 4, pp. 463-470. http://geodesic.mathdoc.fr/item/KYB_2007__43_4_a6/