Probabilistic Cost Forecasting

Probabilistic Cost Forecasting is a cost forecasting method that quantifies uncertainty by predicting a range of possible cost outcomes along with their associated probabilities, distinguishing itself from deterministic approaches through its explicit representation of variability and risk in projected costs.

12

Publications

905

Citations

27

Authors

26

Institutions

Publications per year

2017–2026

4

Authors

27

  1. RW
    Rupert Way

    University of Oxford, United Kingdom

    2 publications · 587 citations

    2

    h-index

  2. SD
    Seth D. Guikema

    Johns Hopkins University, United States

    1 publications · 27 citations

    1

    h-index

  3. RF
    Richard Fellows

    University of Hong Kong, Hong Kong SAR China

    1 publications · 11 citations

    1

    h-index

  4. SZ
    Shaohua Zhang

    Shanghai University, China

    1 publications · 11 citations

    1

    h-index

  5. JD
    J. Doyne Farmer

    Santa Fe Institute, United States

    1 publications · 498 citations

    1

    h-index

1–5 of 27

Venues

  1. IEEE Transactions on Engineering Management

    2 publications · 72 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Construction Management and Economics

    1 publications · 11 citations

    1

    h-index

  5. Forest Policy and Economics

    FPE · 1 publications · 63 citations

    1

    h-index

1–5