Decision Error Variance

Decision Error Variance is a statistical construct that quantifies the variability in decision outcomes attributable to random errors rather than systematic influences within the context of relative decision-making processes.

31

Publications

4.1K

Citations

73

Authors

51

Institutions

Publications per year

2017–2026

3

Authors

73

  1. MG
    Marlys Gascho Lipe

    University of Oklahoma, United States

    1 publications · 70 citations

    1

    h-index

  2. AK
    Anrey Kostoglotov

    Don State Technical University, Russia

    1 publications · 14 citations

    1

    h-index

  3. FC
    Federico Carnevale

    Universidad Autónoma de Madrid, Spain

    1 publications · 23 citations

    1

    h-index

  4. JH
    Jakob H. Macke

    Max Planck Society, Germany

    1 publications · 257 citations

    1

    h-index

  5. MS
    Manuel Suero

    Universidad Autónoma de Madrid, Spain

    1 publications · 15 citations

    1

    h-index

1–5 of 73

Venues

  1. Neuron

    2 publications · 414 citations

    2

    h-index

  2. Journal of the American Statistical Association

    2 publications · 1.6K citations

    2

    h-index

  3. 1

    h-index

  4. Language

    1 publications · 360 citations

    1

    h-index

  5. Technological Forecasting and Social Change

    1 publications · 24 citations

    1

    h-index

1–5