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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.23170 |
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| _version_ | 1866915754636476416 |
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| author | Petit, Sébastien Marmin, Sébastien Fischer, Nicolas |
| author_facet | Petit, Sébastien Marmin, Sébastien Fischer, Nicolas |
| contents | This article introduces tools to analyze set-valued data statistically. The tools were initially developed to analyze results from an interlaboratory comparison made by the Electromagnetic Compatibility Working Group of Eurolab France, where the goal was to select a consensual set of injection points on an electrical device. Families based on the Hamming-distance from a consensus set are introduced and Fisher's noncentral hypergeometric distribution is proposed to model the number of deviations. A Bayesian approach is used and two types of techniques are proposed for the inference. Hierarchical models are also considered to quantify a possible within-laboratory effect. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_23170 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Set-valued data analysis for interlaboratory comparisons Petit, Sébastien Marmin, Sébastien Fischer, Nicolas Methodology Statistics Theory Applications This article introduces tools to analyze set-valued data statistically. The tools were initially developed to analyze results from an interlaboratory comparison made by the Electromagnetic Compatibility Working Group of Eurolab France, where the goal was to select a consensual set of injection points on an electrical device. Families based on the Hamming-distance from a consensus set are introduced and Fisher's noncentral hypergeometric distribution is proposed to model the number of deviations. A Bayesian approach is used and two types of techniques are proposed for the inference. Hierarchical models are also considered to quantify a possible within-laboratory effect. |
| title | Set-valued data analysis for interlaboratory comparisons |
| topic | Methodology Statistics Theory Applications |
| url | https://arxiv.org/abs/2510.23170 |