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序贯调整估计量——不完全事后分层估计的新方法
引用本文:钟卫,袁卫,黄向阳. 序贯调整估计量——不完全事后分层估计的新方法[J]. 数理统计与管理, 2007, 26(5): 802-808
作者姓名:钟卫  袁卫  黄向阳
作者单位:中国人民大学财政金融学院,北京,100872;中国人民大学应用统计研究中心,北京,100872;中国人民大学统计学院,北京,100872
摘    要:在使用多个分类变量对样本进行交叉事后分层时,边缘总值已知、格子总值未知的不完全事后分层问题是估计时经常面临的情况。序贯调整估计量是本论文提出的解决这一问题的新方法。在详细介绍了序贯调整估计程序后,论文用随机模拟的方法研究了该估计量的数学性质,并将其与经典的不完全事后分层估计量做了比较。

关 键 词:不完全事后分层  搜索比率估计量  广义搜索比率估计量  序贯调整估计量
文章编号:1002-1566(2007)05-0802-07
修稿时间:2006-12-29

Sequential Adjustment Estimators: A New Method for Incomplete Post-stratification Estimators
ZHONG-Wei,YUAN-Wei,HUANG Xiang-yang. Sequential Adjustment Estimators: A New Method for Incomplete Post-stratification Estimators[J]. Application of Statistics and Management, 2007, 26(5): 802-808
Authors:ZHONG-Wei  YUAN-Wei  HUANG Xiang-yang
Affiliation:1. School of Finance, Renmin University of China, Beijing 100872 China; 2. Center for Applied Statistics, Renmin University of China, Beijing 100872 China; 3. School of Statistics, Renmin University of China, Beijing 10087,china
Abstract:When using post-stratification estimators to classify the sample,we often meet with the incomplete post-stratification,in which marginal counts are known but cell counts are not.Sequential Adjustment Estimators is a new method the author puts forward to solve this problem.After introducing the Sequential Adjustment Estimation Procedure in detail,the author attempts random simulation to study the new eslimator and contrasts the efficiency of Sequential-Ad.iustment Estimators with classic incomplete post-stratification estimators.
Keywords:incomplete Post-stratification  raking ratio estimators  generalized raking ratio estimators  sequential adjustment estimators.
本文献已被 CNKI 维普 万方数据 等数据库收录!
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