将数据缺失方式划分为随机缺失,非随机缺失与完全随机缺失,这对于合理编写缺失数据推估程序,正确选用估算方法有很重要的意义。
It is very important to divide the missing data into three manners: missing at random (MAR), missing not at random (MNAR) and missing completely at random (MCAR).
有缺失数据两因素随机区组试验资料是两因素水平组合重复数不等的非平衡资料。
The data with missing values in two-factor experiment with randomized block design is the unbalanced data with unequal replications of level combination of two factors.
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