基于辅助信息的分层排序集抽样及调查费用分析  

Stratified Ranked Set Sampling Based on the Auxiliary Information and the Cost Analysis of Investigation

作　　者：乔松珊[1] 张建军[2] 

机构地区：[1]中原工学院信息商务学院,河南郑州450007 [2]河南农业大学信息与管理科学学院,河南郑州450002

出　　处：《数学的实践与认识》2015年第13期117-122,共6页Mathematics in Practice and Theory

基　　金：河南省高等学校青年骨干教师资助计划(2014GGJS-158);河南省教育厅科学技术研究重点项目(13B110057)

摘　　要：辅助信息在改进和完善抽样设计、提高抽样估计精度和节省抽样费用等方面具有重要作用,鉴于此,基于分层排序集样本建立了总体均值的比率估计量,同时考虑估计精度和调查费用两个方面,证明了抽样方案的优良性.最后,通过实例进一步分析,结果表明,在给定的估计精度下,分层排序集抽样方法可以有效降低抽样调查费用.The auxiliary information plays an important role in the improvement and per- fection of the sampling design, improving the precision of estimation and saving the cost of sampling etc. In this paper, A ratio estimation of the population mean based on stratified ranked set sample is established, and it is proved that the sampling is good based on the precision of estimation and the investigation cost. Finally, a practical application is analyzed. The results show that the stratified ranked set sampling can reduce the cost of investigation effectively

关 键 词：辅助信息 排序集抽样 分层抽样 相对精度 调查费用 

分 类 号：O212[理学—概率论与数理统计]