We develop imputation estimators of mean of responses for semiparametric varying-coefficient model with response variables missing at random.
在响应变量随机缺失时，研究了半参数变系数模型响应变量均值的借补估计。
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).
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).
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。
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