Categorical regression model for the analysis and interpretation of statistical power
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Abstract
of type I error in the analysis of variance models (parametric and non-parametric). That is, at low values of the probability of type I error, high values of power. It is convenient, in future studies, to deepen in the aspects of sample size, the distribution of the variable under study and the criterion of power-efficiency (Asymptotic Relative Efficiency, ARE), in relation to the probability of type I error and the power.
Key words: Statistical and experimental design indicators, analysis
of variance parametric and non-parametric.
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