双重分层抽样中的校正估计  

Calibration Estimation in Stratified Double Sampling

作　　者：黄莺[1] 李金昌[1] 

机构地区：[1]浙江工商大学

出　　处：《统计研究》2008年第7期66-69,共4页Statistical Research

摘　　要：校正估计法已被大量运用于抽样调查中,它利用辅助信息构造的校正权重提高了对总体总值(或均值)的估计精度。本文提出了分层抽样中的校正组合比率估计量,并推广到分层双重抽样中。同时给出新估计量的近似方差表达式。最后利用计算机随机模拟验证较正估计量对估计精度的改进。Calibration estimation which uses known auxiliary information at the estimation stage to improve the precision of the estimators of totals and means has been widely used in survey sampling. In the present investigation, new calibration approach combined regression estimator is proposed, and asymptotical variance estimator of the proposed estimator is given. The new estimator has been extended to stratified double sampling and results of a computer-based random simulation study on the performance of the new estimator are reported.

关 键 词：辅助信息 校正估计 组合比率及回归估计量 随机模拟 

分 类 号：C811[社会学—统计学]