RETRACTED: A new approach to constructing confidence intervals for population means based on small samples (Retracted article. See vol. 18, 2023)

被引：2

作者：

Lu, Hao-Chun ^{[1
,2
]}

Xu, Yan ^{[3
]}

Lu, Tom ^{[4
]}

Huang, Chun-Jung ^{[5
]}

机构：

[1] Natl Yang Ming Chiao Tung Univ, Dept Management Sci, Hsinchu, Taiwan

[2] Chang Gung Univ, Grad Inst Management, Taoyuan, Taiwan

[3] Ocean Univ China, Sch Math, Qingdao, Peoples R China

[4] Texas Tech Univ, Dept Math & Stat, Lubbock, TX 79409 USA

[5] Taiwan Semicond Mfg Co, Mfg Dept Fab12 1, Hsinchu, Taiwan

来源：

PLOS ONE | 2022年 / 17卷 / 08期

基金：

中国国家自然科学基金;

关键词：

QUEUING SYSTEM; RESPONSE-TIME; BOOTSTRAP;

D O I：

10.1371/journal.pone.0271163

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

This paper presents a new approach to constructing the confidence interval for the mean value of a population when the distribution is unknown and the sample size is small, called the Percentile Data Construction Method (PDCM). A simulation was conducted to compare the performance of the PDCM confidence interval with those generated by the Percentile Bootstrap (PB) and Normal Theory (NT) methods. Both the convergence probability and average interval width criterion are considered when seeking to find the best interval. The results show that the PDCM outperforms both the PB and NT methods when the sample size is less than 30 or a large population variance exists.

引用

页数：17

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