Multivariate Box-Cox transformations with applications to neurometric data.
The Box-Cox power transform methodology for achieving Gaussianity is developed for a variety of models useful in neurometric statistical analysis. Algorithms are proposed for estimating the optimal transformations in the univariate and multivariate cases. Their use is briefly illustrated with neurometric data.
Biscay Lirio
R
R
Department of Neurocybernetics, National Center for Scientific Research, Havana, Cuba.
Valdés Sosa
P A
PA
Pascual Marqui
R D
RD
Jiménez-Sobrino
J C
JC
Alvarez Amador
A
A
Galán Garcia
L
L
D000465:Algorithms; D000704:Analysis of Variance; D001921:Brain / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological