Inverting covariance matrices
Discussiones Mathematicae. Probability and Statistics, Tome 26 (2006) no. 2, pp. 163-177
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Some useful tools in modelling linear experiments with general multi-way classification of the random effects and some convenient forms of the covariance matrix and its inverse are presented. Moreover, the Sherman-Morrison-Woodbury formula is applied for inverting the covariance matrix in such experiments.
Keywords:
multi-way classification, cross, hierarchical, balanced, unbalanced, covariance matrix, inverting
@article{DMPS_2006_26_2_a3,
author = {St\k{e}pniak, Czes{\l}aw},
title = {Inverting covariance matrices},
journal = {Discussiones Mathematicae. Probability and Statistics},
pages = {163--177},
publisher = {mathdoc},
volume = {26},
number = {2},
year = {2006},
language = {en},
url = {http://geodesic.mathdoc.fr/item/DMPS_2006_26_2_a3/}
}
Stępniak, Czesław. Inverting covariance matrices. Discussiones Mathematicae. Probability and Statistics, Tome 26 (2006) no. 2, pp. 163-177. http://geodesic.mathdoc.fr/item/DMPS_2006_26_2_a3/