Root Mean Squared Forecast Error

Root Mean Squared Forecast Error is a forecast evaluation metric that quantifies the average magnitude of forecast errors by taking the square root of the mean squared differences between predicted and actual values, thereby emphasizing larger errors through squaring.

223

Publications

9.2K

Citations

605

Authors

337

Institutions

Publications per year

2017–2026

96

Variants

Rmsfe

Authors

605

  1. JR
    Jan R. Magnus

    Tilburg University, Netherlands

    3 publications · 89 citations

    3

    h-index

  2. PM
    Paras Mandal

    The University of Texas at El Paso, United States

    3 publications · 162 citations

    3

    h-index

  3. BP
    Bahram Pesaran

    Bank of England, United Kingdom

    3 publications · 89 citations

    3

    h-index

  4. AK
    Anurag K. Srivastava

    Washington State University, United States

    3 publications · 162 citations

    3

    h-index

  5. PP
    Pablo Pincheira

    Adolfo Ibáñez University, Chile

    3 publications · 38 citations

    3

    h-index

1–5 of 605

Venues

  1. Journal of Forecasting

    11 publications · 760 citations

    11

    h-index

  2. SSRN Electronic Journal

    Repository · 10 publications · 243 citations

    10

    h-index

  3. Monthly Weather Review

    4 publications · 140 citations

    4

    h-index

  4. International Journal of Forecasting

    4 publications · 71 citations

    4

    h-index

  5. Journal of Econometrics

    4 publications · 136 citations

    4

    h-index

1–5