Transformations for Components of Variance and Covariance
研究了平衡方差分量模型中数据的变换方法，使变换后的数据满足模型假设，并扩展到多元情况下的协方差分量，通过血压数据分析展示了应用。
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.