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子类样本数不均衡数据分析中的调整因子AI 解读

This paper presents a new method for the analysis of variance of multiple classifications with unequal subclass numbers. It is believed that the method is simpler and more expeditious than the standard method of fitting constants. The process of adjusting is accomplished by substituting in the following equation: where is the mean of the i th subclass in the jth row or column, is the mean of the i th row or column, is the grand mean and is the adjusted mean of the i th…

子类样本量不均衡数据分析中的调整因子AI 解读

This paper presents a new method for the analysis of variance of multiple classifications with unequal subclass numbers. It is believed that the method is simpler and more expeditious than the standard method of fitting constants. The process of adjusting is accomplished by substituting in the following equation: where is the mean of the i th subclass in the jth row or column, is the mean of the i th row or column, is the grand mean and is the adjusted mean of the i th…