| 抽样调查中基于平衡样本的稳健预测 |
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| 引用本文： | 巩红禹,金勇进. 抽样调查中基于平衡样本的稳健预测[J]. 统计与信息论坛, 2012, 0(3): 38-42 |
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| 作者姓名： | 巩红禹 金勇进 |
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| 作者单位： | 中国人民大学统计学院;内蒙古财经学院统计与数学学院;中国人民大学应用统计科学研究中心 |
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| 基金项目： | 国家社科基金项目《普查数据质量的事后抽查理论及其应用研究》(11BTJ009);教育部人文社科基地重大项目《复杂抽样中的模型方法研究》(10JJD790036) |
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| 摘 要： | 抽样调查中基于模型推断方法获得的估计量性质是依赖于模型的。在恰当的模型下比率估计和扩张估计是最优线性无偏估计。当模型设定错误时,比率估计和扩张估计是有偏估计,但如果样本是平衡的,可以消除偏倚,从而实现了复杂问题简单处理的思想。
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| 关 键 词： | 超总体 比率估计 扩张估计 平衡样本 |
Robust Prediction Based on Balanced Sample in Survey Sampling |
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| GONG Hong-yu,JIN Yong-jin. Robust Prediction Based on Balanced Sample in Survey Sampling[J]. Statistics & Information Tribune, 2012, 0(3): 38-42 |
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| Authors: | GONG Hong-yu JIN Yong-jin |
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| Affiliation: | 1.School of Statistics,Renmin University of China Beijing 100872,China; 2.Statistics and Mathematics School,Inner Mongolia Finance and Economic College,Hohhot 010051,China; 3.Center for Applied Statistics,Renmin University of China,Beijing 100872,China) |
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| Abstract: | Properties of model-based estimator in survey sampling depends on assumption of model.Ratio estimator or expansion estimator is best linear unbiased estimator under appropriate model.A bias is incurred when the model is wrong.The possibility of such a bias is avoided by balanced sample.Consequently,the idea that complex question is solved simply is achieved. |
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| Keywords: | superpopulation ratio estimator expansion estimator balanced sample |
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