Probabilistic Cost Modeling

Probabilistic Cost Modeling is a quantitative cost estimation framework that incorporates probability distributions to represent uncertainty in cost drivers and parameters, distinguishing itself from deterministic models by explicitly characterizing variability and risk in projected costs.

173

Publications

10.4K

Citations

497

Authors

265

Institutions

Publications per year

2017–2026

35

Authors

497

  1. FS
    Francesco Saverio Mennini

    University of Rome Tor Vergata, Italy

    3 publications · 111 citations

    3

    h-index

  2. PE
    Peter E.D. Love

    Curtin University, Australia

    3 publications · 185 citations

    3

    h-index

  3. AJ
    Alex J. Sutton

    University of Leicester, United Kingdom

    3 publications · 164 citations

    3

    h-index

  4. AM
    Andrea Marcellusi

    University of Rome Tor Vergata, Italy

    3 publications · 111 citations

    3

    h-index

  5. AT
    Ali Touran

    Northeastern University, United States

    3 publications · 193 citations

    3

    h-index

1–5 of 497

Venues

  1. 10

    h-index

  2. IEEE Transactions on Power Systems

    6 publications · 139 citations

    6

    h-index

  3. Health Economics

    4 publications · 189 citations

    4

    h-index

  4. Energy

    3 publications · 101 citations

    3

    h-index

  5. Journal of Environmental Management

    3 publications · 119 citations

    3

    h-index

1–5