论文检索

一般嵌套裂区协方差分析AI 解读

We present a general split-plot analysis of covariance (ANOCOVA) model for unbalanced data. The imbalance arises from assigning a different number of experimental units to the levels of the whole-plot factor A. The values of the covariable measurements on each experimental unit are allowed to vary across the levels of the split-plot factor B. Exact test statistics and confidence intervals are derived. Exact F test statistics for the A and B main effects and the A × B…

一般嵌套裂区设计的协方差分析AI 解读

We present a general split-plot analysis of covariance (ANOCOVA) model for unbalanced data. The imbalance arises from assigning a different number of experimental units to the levels of the whole-plot factor A. The values of the covariable measurements on each experimental unit are allowed to vary across the levels of the split-plot factor B. Exact test statistics and confidence intervals are derived. Exact F test statistics for the A and B main effects and the A × B…