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).
如果数据的缺失完全是随机的，丢弃不完整的回答虽然会减少估计的精度但是不会产生偏离。
If the data deficiency is totally random, then only the precision will be reduced while deviation will not be caused.
如果数据的缺失完全是随机的，丢弃不完整的回答虽然会减少估计的精度但是不会产生偏离。
If the data deficiency is totally random, then only the precision will be reduced while deviation will not be caused.
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