Parametric Estimating

Parametric Estimating is a quantitative forecasting method in construction estimating that uses statistical relationships between historical data and project parameters to predict costs during the design phase, distinguishing itself from other estimating techniques through its reliance on algorithmic models and scalable variables rather than detailed quantity takeoffs or expert judgment alone.

61

Publications

3.4K

Citations

149

Authors

93

Institutions

Publications per year

2017–2026

9

Authors

149

  1. MA
    Mohammed Abdel Razek

    Al-Azhar University, Egypt

    2 publications · 51 citations

    2

    h-index

  2. BB
    Barry Boehm

    University of Southern California, United States

    2 publications · 35 citations

    2

    h-index

  3. MS
    Miguel‐Ángel Sicilia

    Universidad de Alcalá, Spain

    2 publications · 27 citations

    2

    h-index

  4. JL
    J.C. López-Ardao

    Universidade de Vigo, Spain

    2 publications · 66 citations

    2

    h-index

  5. ZH
    Zhimin He

    Data Storage Institute, Singapore

    2 publications · 35 citations

    2

    h-index

1–5 of 149

Venues

  1. 5

    h-index

  2. NASA Technical Reports Server (NASA)

    Repository · 2 publications · 52 citations

    2

    h-index

  3. Scandinavian Journal of Statistics

    2 publications · 123 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 51 citations

    2

    h-index

  5. Structural Change and Economic Dynamics

    1 publications · 40 citations

    1

    h-index

1–5