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A Utility-Driven Bayesian Design: A New Framework for Extracting Optimal Experiments from Observational Reliability Data.

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Title: A Utility-Driven Bayesian Design: A New Framework for Extracting Optimal Experiments from Observational Reliability Data.
Authors: Berni, Rossella1 (AUTHOR) rossella.berni@unifi.it, Nikiforova, Nedka Dechkova1,2 (AUTHOR), Stefanini, Federico Mattia1,2 (AUTHOR)
Source: Stats. Feb2026, Vol. 9 Issue 1, p9. 15p.
Database: Mathematics Source
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  Data: A Utility-Driven Bayesian Design: A New Framework for Extracting Optimal Experiments from Observational Reliability Data.
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  Data: <searchLink fieldCode="JN" term="%22Stats%22">Stats</searchLink>. Feb2026, Vol. 9 Issue 1, p9. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=192098062
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      – Type: doi
        Value: 10.3390/stats9010009
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 9
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      – TitleFull: A Utility-Driven Bayesian Design: A New Framework for Extracting Optimal Experiments from Observational Reliability Data.
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            NameFull: Berni, Rossella
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            NameFull: Nikiforova, Nedka Dechkova
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              Text: Feb2026
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              Y: 2026
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