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Estimation du nombre de problèmes et détermination du nombre de sujets nécessaires dans les études d’utilisabilité : une approche bayésienne

Author

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  • Vincent Vandewalle

    (MODAL - MOdel for Data Analysis and Learning - LPP - Laboratoire Paul Painlevé - UMR 8524 - Université de Lille - CNRS - Centre National de la Recherche Scientifique - Université de Lille, Sciences et Technologies - Inria Lille - Nord Europe - Inria - Institut National de Recherche en Informatique et en Automatique - METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694 - Université de Lille - CHRU Lille - Centre Hospitalier Régional Universitaire [CHU Lille] - Polytech Lille - École polytechnique universitaire de Lille, METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694 - Université de Lille - CHRU Lille - Centre Hospitalier Régional Universitaire [CHU Lille])

  • Alexandre Caron

    (METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694 - Université de Lille - CHRU Lille - Centre Hospitalier Régional Universitaire [CHU Lille])

  • Benoît Dervaux

    (METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694 - Université de Lille - CHRU Lille - Centre Hospitalier Régional Universitaire [CHU Lille], CHU Lille - Direction de la recherche et de l’innovation - CHRU Lille - Centre Hospitalier Régional Universitaire [CHU Lille])

Abstract

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Suggested Citation

  • Vincent Vandewalle & Alexandre Caron & Benoît Dervaux, 2020. "Estimation du nombre de problèmes et détermination du nombre de sujets nécessaires dans les études d’utilisabilité : une approche bayésienne," Post-Print hal-03118164, HAL.
    • Handle: RePEc:hal:journl:hal-03118164
    Note: View the original document on HAL open archive server: https://inria.hal.science/hal-03118164
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