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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2406.11396 |
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| _version_ | 1866917750793830400 |
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| author | Fewell, M. P. |
| author_facet | Fewell, M. P. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_11396 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Uncertainties in ROC (Receiver Operating Characteristic) Curves Derived from Counting Data Fewell, M. P. Data Analysis, Statistics and Probability 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. |
| title | Uncertainties in ROC (Receiver Operating Characteristic) Curves Derived from Counting Data |
| topic | Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2406.11396 |