摘要
本文提出一种新的抽样方法,通过补充无辅助信息分层样本来提高含有辅助信息整群抽样的精度.得到的结果表明与单一的整群抽样比估计、单一的分层随机抽样简单估计相比,这种抽样设计的估计精度更高.
Cluster sampling with auxiliary information is supplemented with stratified sample without auxiliary information. Results obtained show that the present approach is more efficient than approaches of cluster sampling with auxiliary information or na？ ve stratified sampling in case they are applied individually.
出处
《内蒙古工业大学学报（自然科学版）》
2008年第3期161-166,共6页
Journal of Inner Mongolia University of Technology：Natural Science Edition
基金
国家自然科学基金项目(10761004)
内蒙古自然科学基金项目(200607010108)
内蒙古人才基金项目(2008)
关键词
整群抽样
辅助信息
补充样本
比估计
cluster sampling
auxiliary information
supplementary sample
Taylor expansion stratified sampling
ratio estimation
