
Variance component models make various independence assumptions and typically assume effects are normally distributed. Here we assume that the data, possibly after suitable transformation, satisfy such a model. An analysis of transformations for balanced variance component models is presented, components of covariance being incorporated in the multivariate case. An analysis of some blood pressure data is discussed.
components of covariance, Analysis of variance and covariance (ANOVA), transformations for balanced variance component models, maximum likelihood, Applications of statistics to biology and medical sciences; meta analysis, blood pressure data
components of covariance, Analysis of variance and covariance (ANOVA), transformations for balanced variance component models, maximum likelihood, Applications of statistics to biology and medical sciences; meta analysis, blood pressure data
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