H-Type Indices With Applications in Chemometrics: h-Accuracy Index for Evaluating and Comparing Errors in Analytical Chemistry.

IF 2.3 3区化学 Q3 CHEMISTRY, ANALYTICAL Journal of Analytical Methods in Chemistry Pub Date : 2024-10-16 eCollection Date: 2024-01-01 DOI:10.1155/2024/1580359

Lu Xu, Xihui Bian, Qin Yang

{"title":"H-Type Indices With Applications in Chemometrics: h-Accuracy Index for Evaluating and Comparing Errors in Analytical Chemistry.","authors":"Lu Xu, Xihui Bian, Qin Yang","doi":"10.1155/2024/1580359","DOIUrl":null,"url":null,"abstract":"<p><p>Inspired by the popular h-index in bibliometrics, the h-accuracy index (HAI) was suggested as a new indicator to evaluate and compare errors in analytical chemistry. The HAI simultaneously considers the \"trueness\" of analytical measurements and the frequency of measurements with high \"trueness\". The HAI was defined as if the \"trueness\" of at most M% of the total measurements is no less than M%, the value of HAI will be M%, where a specific definition of \"trueness\" was given to compute the HAI. The range of the HAI was between zero and one. The HAI was applied to two examples as a new error index: (1) to evaluate and compare the analytical results by different methods/labs and (2) to evaluate and compare the prediction performances of different multivariate calibration models. Data analysis indicated that the HAI was a reasonable, robust, easy-to-compute, and comprehensive index for evaluating and comparing errors in analytical chemistry. Moreover, the HAI could provide the information about how many measurements are good.</p>","PeriodicalId":14974,"journal":{"name":"Journal of Analytical Methods in Chemistry","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11498989/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Analytical Methods in Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1155/2024/1580359","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Inspired by the popular h-index in bibliometrics, the h-accuracy index (HAI) was suggested as a new indicator to evaluate and compare errors in analytical chemistry. The HAI simultaneously considers the "trueness" of analytical measurements and the frequency of measurements with high "trueness". The HAI was defined as if the "trueness" of at most M% of the total measurements is no less than M%, the value of HAI will be M%, where a specific definition of "trueness" was given to compute the HAI. The range of the HAI was between zero and one. The HAI was applied to two examples as a new error index: (1) to evaluate and compare the analytical results by different methods/labs and (2) to evaluate and compare the prediction performances of different multivariate calibration models. Data analysis indicated that the HAI was a reasonable, robust, easy-to-compute, and comprehensive index for evaluating and comparing errors in analytical chemistry. Moreover, the HAI could provide the information about how many measurements are good.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

H 型指数在化学计量学中的应用：用于评估和比较分析化学误差的 h 精度指数。

受文献计量学中流行的 h 指数的启发，提出了 h 精确度指数（HAI）作为评估和比较分析化学误差的新指标。HAI 同时考虑了分析测量的 "真实度 "和高 "真实度 "测量的频率。HAI 的定义是：如果最多有 M% 的测量结果的 "真实度 "不低于 M%，则 HAI 值为 M%，其中给出了计算 HAI 的 "真实度 "的具体定义。HAI 的范围介于 0 和 1 之间。HAI 作为一种新的误差指数被应用于两个实例：(1) 评估和比较不同方法/实验室的分析结果；(2) 评估和比较不同多元校准模型的预测性能。数据分析表明，HAI 是评估和比较分析化学误差的一个合理、稳健、易于计算且全面的指标。此外，HAI 还能提供关于有多少测量结果是好的信息。

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分钟内获得全文去求助

来源期刊

Journal of Analytical Methods in Chemistry CHEMISTRY, ANALYTICAL-ENGINEERING, CIVIL

CiteScore

4.80

自引率

3.80%

发文量

审稿时长

6-12 weeks

期刊介绍： Journal of Analytical Methods in Chemistry publishes papers reporting methods and instrumentation for chemical analysis, and their application to real-world problems. Articles may be either practical or theoretical. Subject areas include (but are by no means limited to): Separation Spectroscopy Mass spectrometry Chromatography Analytical Sample Preparation Electrochemical analysis Hyphenated techniques Data processing As well as original research, Journal of Analytical Methods in Chemistry also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.