无回答问题是抽样调查中的难点之一，它的出现直接影响着估计的精度。
As one of the difficult items in sampling survey, nonresponse directly affects the precision of the survey.
介绍分层随机抽样条件下多重插补法处理缺失数据的基本思想，分析可忽略无回答的分层随机抽样建立多重插补的常用方法，并通过实例加以说明。
The paper introduces multiple imputation (mi) for missing data in stratified random sampling, and discusses the ordinary method of mi with ignorable nonresponse, and illustrates the essential steps.
第四章，从横向上介绍了校准估计量在二重抽样中的应用、在无回答中的应用，并推出其在样本轮换中的应用。
In chapter 4, introducing the application of calibration estimator in two-phase sampling, non-response and sampling rotation.
应用推荐