当我们不知道如何配对时,我们如何进行配对t检验?

M. Grabchak
{"title":"当我们不知道如何配对时,我们如何进行配对t检验?","authors":"M. Grabchak","doi":"10.1080/00031305.2022.2115552","DOIUrl":null,"url":null,"abstract":"Abstract We address the question of how to perform a paired t-test in situations where we do not know how to pair the data. Specifically, we discuss approaches for bounding the test statistic of the paired t-test in a way that allows us to recover the results of this test in some cases. We also discuss the relationship between the paired t-test and the independent samples t-test and what happens if we use the latter to approximate the former. Our results are informed by both theoretical results and a simulation study.","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How Do We Perform a Paired t-Test When We Don’t Know How to Pair?\",\"authors\":\"M. Grabchak\",\"doi\":\"10.1080/00031305.2022.2115552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract We address the question of how to perform a paired t-test in situations where we do not know how to pair the data. Specifically, we discuss approaches for bounding the test statistic of the paired t-test in a way that allows us to recover the results of this test in some cases. We also discuss the relationship between the paired t-test and the independent samples t-test and what happens if we use the latter to approximate the former. Our results are informed by both theoretical results and a simulation study.\",\"PeriodicalId\":342642,\"journal\":{\"name\":\"The American Statistician\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The American Statistician\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/00031305.2022.2115552\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The American Statistician","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/00031305.2022.2115552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们解决了如何在我们不知道如何配对数据的情况下执行配对t检验的问题。具体来说,我们讨论了配对t检验检验统计量的边界方法,这种方法允许我们在某些情况下恢复该检验的结果。我们还讨论了配对t检验和独立样本t检验之间的关系,以及如果我们使用后者来近似前者会发生什么。我们的结果得到了理论结果和模拟研究的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
How Do We Perform a Paired t-Test When We Don’t Know How to Pair?
Abstract We address the question of how to perform a paired t-test in situations where we do not know how to pair the data. Specifically, we discuss approaches for bounding the test statistic of the paired t-test in a way that allows us to recover the results of this test in some cases. We also discuss the relationship between the paired t-test and the independent samples t-test and what happens if we use the latter to approximate the former. Our results are informed by both theoretical results and a simulation study.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A review of Design of Experiments courses offered to undergraduate students at American universities On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments Introduction to Stochastic Finance with Market Examples, 2nd ed Introduction to Stochastic Finance with Market Examples, 2nd ed . Nicolas Privault, Boca Raton, FL: Chapman & Hall/CRC Press, 2023, x + 652 pp., $120.00(H), ISBN 978-1-032-28826-0.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1