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基于分层设计效应的样本分配研究

发布时间:2019-07-14 20:30
【摘要】:文章从分层抽样的角度,以设计效应为工具,构造出若干种分层抽样的设计效应模型,应用于分层抽样的样本分配设计。由于分层设计效应主要取决于各层平均数的差异,则差异越大,分层的效果越好。为了满足目标变量全国估计量和特定小域估计量的精度要求,样本在各小域的最优分配可能是比例分配和非比例分配的折中。
[Abstract]:From the point of view of stratified sampling and with the tool of design effect, this paper constructs several design effect models of stratified sampling, which are applied to the sample allocation design of stratified sampling. Because the effect of layered design mainly depends on the difference of the average of each layer, the greater the difference, the better the effect of stratification. In order to meet the accuracy requirements of the national Estimator of the target variable and the specific subdomain Estimator, the optimal distribution of the samples in each subdomain may be a compromise between the proportional distribution and the non-proportional distribution.
【作者单位】: 广东工业大学管理学院;广东工业大学大数据战略研究院;
【基金】:国家社会科学基金资助项目(17BTJ037) 广东省哲学社会科学“十二五”规划学科共建项目(GD15XGL09)
【分类号】:C31


本文编号:2514502

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