• 数据缺失方式划分随机缺失随机缺失完全随机缺失,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).

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  • 缺失数据因素随机区组试验资料两因素水平组合重复数不等平衡资料。

    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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  • 缺失数据因素随机区组试验资料两因素水平组合重复数不等平衡资料。

    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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