| 抽样调查中的不完全数据处理研究 |
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| 引用本文： | 王晓静,王学丽. 抽样调查中的不完全数据处理研究[J]. 陕西科技大学学报, 2009, 27(2): 141-144 |
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| 作者姓名： | 王晓静 王学丽 |
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| 作者单位： | 王晓静,WANG Xiao-jing(北京建筑工程学院理学院,北京,100044);王学丽,WANG Xue-li(北京邮电大学理学院,北京,100876) |
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| 摘 要： | 抽样调查中经常会出现数据缺失现象，尤其是当数据为不可忽略的缺失时，如何对数据进行填充才能使得估计有效便成为需要关注的问题．作者对数据缺失机制以及不完全数据填充方法进行了综合性研究，同时讨论了导致缺失数据的敏感性问题的抽样调查方式以及如何提高抽样调查的回答率等．
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| 关 键 词： | 抽样调查 数据缺失 填补 |
RESEARCH OF MISSING DATA IN SAMPLE SURVEY |
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| WANG Xiao-jing,WANG Xue-li. RESEARCH OF MISSING DATA IN SAMPLE SURVEY[J]. Journal of Shaanxi University of Science & Technology(Natural Science Edition), 2009, 27(2): 141-144 |
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| Authors: | WANG Xiao-jing WANG Xue-li |
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| Affiliation: | WANG Xiao-jing, WANG Xue-li (1. School of Science, Beijing University of Civil Engineering and Architecture , Beijing 100044, Chinas 2. School of Science, Beijing University of Posts and Telecommunications, Beijing 100876,China) |
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| Abstract: | Missing data is a regular phenomenon in sample survey. In particular, with the non-ignorable missing data, how to fill the data to improve the estimation precision. The paper studied the missing data mechanism, and the filling methods of missing data, the paper also discussed the sample survey methods of the sensitive issue which led to missing data, as well as how to improve the investigation rate in sample survey. |
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| Keywords: | sample survey missing data imputation |
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