Resumen
Two analysis procedures for a random experimental design with several consecutives measuresthrough time in each of the experimental units, are examinated in this paper. One of them consists in
facing data applying AVAR mixed model with modelated error structure by AR processes. On the other
side, the problem also is faced from a more general perspective, using a repeated measures multivariate
approach. Data were simulated by Monte Carlo procedures to investigate the effect that have no
satisfaction of independence, sphericity and normality assumptions on the biases degree of estimated
parametres, on the empirical probability to make type I errors and, on the power of statistical test of
the two procedures.
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