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arXiv · 2510.23170

Set-valued data analysis for interlaboratory comparisons

Sébastien Petit·Sébastien Marmin·Nicolas Fischer
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Abstract

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.

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Sébastien Petit, Sébastien Marmin, Nicolas Fischer. 2025-10-27. Set-valued data analysis for interlaboratory comparisons. https://arxiv.org/abs/2510.23170

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