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On the Impact of Bootstrap in Stratified Random Sampling

LIU Cheng ZHAO Lian-wen

西南交通大学学报(英文版)2009,Vol.17Issue(4):359-362,4.
西南交通大学学报(英文版)2009,Vol.17Issue(4):359-362,4.

On the Impact of Bootstrap in Stratified Random Sampling

On the Impact of Bootstrap in Stratified Random Sampling

LIU Cheng 1ZHAO Lian-wen1

作者信息

  • 1. School of Mathematics, Southwest Jiaotong University, Chengdu 610031, China
  • 折叠

摘要

Abstract

In general the accuracy of mean estimator can be improved by stratified random sampling. In this paper, we provide an idea different from empirical methods that the accuracy can be more improved through bootstrap resampling method under some conditions. The determination of sample size by bootstrap method is also discussed, and a simulation is made to verify the accuracy of the proposed method. The simulation results show that the sample size based on bootstrapping is smaller than that based on central limit theorem.

关键词

Stratified random sampling/Bootstrap/Resampling/Sample size

Key words

Stratified random sampling/Bootstrap/Resampling/Sample size

分类

交通运输

引用本文复制引用

LIU Cheng,ZHAO Lian-wen..On the Impact of Bootstrap in Stratified Random Sampling[J].西南交通大学学报(英文版),2009,17(4):359-362,4.

基金项目

The Science Research Start-up Foundation for Young Teachers of Southwest Jiaotong University (No.2007Q091) (No.2007Q091)

西南交通大学学报(英文版)

2662-4745

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