Root Mean Squared Error Analysis

Root Mean Squared Error Analysis is a statistical evaluation method that quantifies the average magnitude of prediction errors by computing the square root of the mean of squared differences between predicted and observed values, distinguishing itself through its sensitivity to large errors due to the squaring operation.

332

Publications

42.5K

Citations

908

Authors

475

Institutions

Publications per year

2017–2026

113

Variants

Rmse AnalysisRoot Mean Square Error

Authors

908

  1. LB
    Leo Breiman

    University of California, Berkeley, United States

    3 publications · 1.2K citations

    3

    h-index

  2. AN
    Andrey N. Serov

    Moscow Power Engineering Institute, Russia

    3 publications · 42 citations

    3

    h-index

  3. MT
    Mohammad Taghi Sattari

    University of Tabriz, Iran

    2 publications · 215 citations

    2

    h-index

  4. AR
    Annamária R. Várkonyi-Kóczy

    Obuda University, Hungary

    2 publications · 215 citations

    2

    h-index

  5. ML
    Michael Lechner

    University of St.Gallen, Switzerland

    2 publications · 96 citations

    2

    h-index

1–5 of 908

Venues

  1. Technometrics

    8 publications · 1.6K citations

    8

    h-index

  2. The Annals of Statistics

    7 publications · 949 citations

    7

    h-index

  3. 5

    h-index

  4. 5

    h-index

  5. Biometrika

    5 publications · 233 citations

    5

    h-index

1–5