{"title":"从计数数据得出的 ROC（接收者工作特征）曲线的不确定性","authors":"M. P. Fewell","doi":"arxiv-2406.11396","DOIUrl":null,"url":null,"abstract":"The ROC (receiver operating characteristic) curve is a widely used device for\nassessing decision-making systems. It seems surprising, in view of its history\ndating back to World War Two, that the assignment of uncertainties to a ROC\ncurve is apparently not settled. This note returns to the question, focusing on\nthe application of ROC curves to the analysis of data from counting experiments\nand taking a practical operational approach to the concept of uncertainty.","PeriodicalId":501065,"journal":{"name":"arXiv - PHYS - Data Analysis, Statistics and Probability","volume":"32 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncertainties in ROC (Receiver Operating Characteristic) Curves Derived from Counting Data\",\"authors\":\"M. P. Fewell\",\"doi\":\"arxiv-2406.11396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ROC (receiver operating characteristic) curve is a widely used device for\\nassessing decision-making systems. It seems surprising, in view of its history\\ndating back to World War Two, that the assignment of uncertainties to a ROC\\ncurve is apparently not settled. This note returns to the question, focusing on\\nthe application of ROC curves to the analysis of data from counting experiments\\nand taking a practical operational approach to the concept of uncertainty.\",\"PeriodicalId\":501065,\"journal\":{\"name\":\"arXiv - PHYS - Data Analysis, Statistics and Probability\",\"volume\":\"32 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Data Analysis, Statistics and Probability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2406.11396\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Data Analysis, Statistics and Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.11396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Uncertainties in ROC (Receiver Operating Characteristic) Curves Derived from Counting Data
The ROC (receiver operating characteristic) curve is a widely used device for
assessing decision-making systems. It seems surprising, in view of its history
dating back to World War Two, that the assignment of uncertainties to a ROC
curve is apparently not settled. This note returns to the question, focusing on
the application of ROC curves to the analysis of data from counting experiments
and taking a practical operational approach to the concept of uncertainty.
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