Error Variance Estimation

Error Variance Estimation is a statistical method used in estimation validation and forecast error analysis that quantifies the variability of prediction errors around their mean to assess the precision of estimators or forecasting models.

1.3K

Publications

101.2K

Citations

2.7K

Authors

1.1K

Institutions

Publications per year

2017–2026

159

Authors

2.7K

  1. MB
    Michael Basin

    Universidad Autónoma de Nuevo León, Mexico

    11 publications · 468 citations

    10

    h-index

  2. CH
    Craig H. Bishop

    United States Naval Research Laboratory, United States

    8 publications · 264 citations

    8

    h-index

  3. RH
    Richard H. Williams

    RCA (United States), United States

    7 publications · 253 citations

    7

    h-index

  4. RJ
    Raymond J. Carroll

    Texas A&M University, United States

    7 publications · 255 citations

    7

    h-index

  5. DW
    Donald W. Zimmerman

    Carleton University, Canada

    7 publications · 253 citations

    7

    h-index

1–5 of 2.7K

Venues

  1. Journal of the American Statistical Association

    66 publications · 7.4K citations

    37

    h-index

  2. IEEE Transactions on Signal Processing

    26 publications · 1.8K citations

    21

    h-index

  3. Technometrics

    28 publications · 3.2K citations

    20

    h-index

  4. Biometrika

    23 publications · 983 citations

    18

    h-index

  5. Water Resources Research

    16 publications · 1.9K citations

    15

    h-index

1–5