文章基本信息

标题：Sampling Error Estimation in Stratified Surveys
本地全文：下载
作者：Ricardo Cao ; José A. Vilar ; Juan M. Vilar 等
期刊名称：Open Journal of Statistics
印刷版ISSN：2161-718X
电子版ISSN：2161-7198
出版年度：2013
卷号：3
期号：3
页码：200-212
DOI：10.4236/ojs.2013.33023
出版社：Scientific Research Publishing
摘要：Many operations carried out by official statistical institutes use large-scale surveys obtained by stratified random sampling without replacement. Variables commonly examined in this type of surveys are binary, categorical and continuous, and hence, the estimates of interest involve estimates of proportions, totals and means. The problem of approximating the sampling relative error of this kind of estimates is studied in this paper. Some new jackknife methods are proposed and compared with plug-in and bootstrap methods. An extensive simulation study is carried out to compare the behavior of all the methods considered in this paper.
关键词：Variance Estimation; Jackknife; Bootstrap; Stratified Sampling