Loss Uncertainty Analysis

Loss Uncertainty Analysis is a methodological framework within loss quantification that characterizes the epistemic and aleatory uncertainties associated with estimated losses by systematically evaluating the variability, reliability, and confidence bounds of loss predictions.

18

Publications

1.5K

Citations

67

Authors

27

Institutions

Publications per year

2017–2026

5

Authors

67

  1. FM
    Franco Moglie

    Marche Polytechnic University, Italy

    1 publications · 15 citations

    1

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  2. LE
    Louis Eeckhoudt

    University of Mons, Belgium

    1 publications · 21 citations

    1

    h-index

  3. AT
    Arash Taghinezhad

    Louisiana State University, United States

    1 publications · 25 citations

    1

    h-index

  4. RU
    R. Ugoccioni

    Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Italy

    1 publications · 45 citations

    1

    h-index

  5. VM
    Valter Mariani Primiani

    Marche Polytechnic University, Italy

    1 publications · 15 citations

    1

    h-index

1–5 of 67

Venues

  1. 1

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  2. 1

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  3. Information Sciences

    1 publications · 21 citations

    1

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  4. Construction and Building Materials

    1 publications · 15 citations

    1

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  5. arXiv (Cornell University)

    Repository · 1 publications · 49 citations

    1

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1–5