Prediction Interval Evaluation

Prediction Interval Evaluation is a methodological framework within estimation validation that assesses the accuracy and reliability of prediction intervals by measuring their calibration, coverage, and sharpness in capturing future observations under uncertainty.

266

Publications

16.1K

Citations

672

Authors

374

Institutions

Publications per year

2017–2026

83

Authors

672

  1. SN
    Saeid Nahavandi

    Deakin University, Australia

    10 publications · 1.5K citations

    10

    h-index

  2. AK
    Abbas Khosravi

    Deakin University, Australia

    10 publications · 1.5K citations

    10

    h-index

  3. GJ
    Gerald J. Hahn

    General Electric (United States), United States

    9 publications · 298 citations

    9

    h-index

  4. DC
    Doug Creighton

    Deakin University, Australia

    6 publications · 1.1K citations

    6

    h-index

  5. MZ
    Mohammad Z. Raqab

    University of Jordan, Jordan

    4 publications · 164 citations

    4

    h-index

1–5 of 672

Venues

  1. Technometrics

    18 publications · 622 citations

    14

    h-index

  2. 12

    h-index

  3. International Journal of Forecasting

    9 publications · 405 citations

    9

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 142 citations

    6

    h-index

  5. IEEE Transactions on Reliability

    6 publications · 125 citations

    6

    h-index

1–5