Forecast Error Analysis

Forecast Error Analysis is a quantitative diagnostic method in demand and revenue forecasting that evaluates the accuracy and bias of forecasting models by measuring, summarizing, and interpreting the statistical properties of the deviations between predicted and realized values over time.

3.4K

Publications

212.6K

Citations

6.6K

Authors

2.2K

Institutions

Publications per year

2017–2026

838

Authors

6.6K

  1. RF
    Robert Fildes

    Lancaster University, United Kingdom

    21 publications · 2K citations

    20

    h-index

  2. DF
    David F. Hendry

    University of Oxford, United Kingdom

    22 publications · 1.8K citations

    17

    h-index

  3. JS
    J. Scott Armstrong

    University of Pennsylvania, United States

    16 publications · 930 citations

    15

    h-index

  4. LD
    Lawrence D. Brown

    Temple University, United States

    15 publications · 1.9K citations

    14

    h-index

  5. AT
    Allan Timmermann

    University of California San Diego, United States

    15 publications · 2.2K citations

    14

    h-index

1–5 of 6.6K

Venues

  1. International Journal of Forecasting

    152 publications · 15.5K citations

    52

    h-index

  2. SSRN Electronic Journal

    Repository · 216 publications · 8.7K citations

    46

    h-index

  3. Journal of Forecasting

    104 publications · 6.4K citations

    43

    h-index

  4. IEEE Transactions on Power Systems

    38 publications · 8.8K citations

    34

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 43 publications · 5.1K citations

    32

    h-index

1–5