Determining "reliable detection limits" (RDLs) for environmental analyses.

Thomas Georgian, Kenneth E Osborn
{"title":"Determining \"reliable detection limits\" (RDLs) for environmental analyses.","authors":"Thomas Georgian,&nbsp;Kenneth E Osborn","doi":"10.1080/10529410390198855","DOIUrl":null,"url":null,"abstract":"<p><p>It is generally accepted that the method detection limit or MDL (defined in 40 CFR 136, Appendix B) provides protection against false positives 99% of the time. This is correct, but only for the next single measurement performed after the MDL is determined. Subsequent measurements are not protected against false positives with the same degree of confidence, and there is no protection for false negatives. This paper provides a simple cost-effective approach for estimating the \"reliable detection limit.\" Unlike the MDL, the statistic may be used for an indefinite number of future measurements and minimizes false negatives.</p>","PeriodicalId":77339,"journal":{"name":"Quality assurance (San Diego, Calif.)","volume":"10 1","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2003-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10529410390198855","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality assurance (San Diego, Calif.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10529410390198855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

It is generally accepted that the method detection limit or MDL (defined in 40 CFR 136, Appendix B) provides protection against false positives 99% of the time. This is correct, but only for the next single measurement performed after the MDL is determined. Subsequent measurements are not protected against false positives with the same degree of confidence, and there is no protection for false negatives. This paper provides a simple cost-effective approach for estimating the "reliable detection limit." Unlike the MDL, the statistic may be used for an indefinite number of future measurements and minimizes false negatives.

确定环境分析的“可靠检出限”。
人们普遍认为,方法检测限或MDL(在40 CFR 136,附录B中定义)在99%的情况下可以防止误报。这是正确的,但仅适用于MDL确定后执行的下一个单次测量。随后的测量不能以相同的置信度防止假阳性,也不能防止假阴性。本文提供了一种估算“可靠检出限”的简单、经济的方法。与MDL不同的是,该统计数据可以用于无限数量的未来测量,并最大限度地减少假阴性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信