Variance Component Estimation

Variance Component Estimation is a statistical method that belongs to the class of parameter estimation techniques, specifically designed to quantify the contributions of distinct random effects to the overall variability in a hierarchical or mixed-effects model.

682

Publications

110K

Citations

1.4K

Authors

625

Institutions

Publications per year

2017–2026

65

Variants

Variance Components Estimation

Authors

1.4K

  1. SR
    S. R. Searle

    Cornell University, United States

    15 publications · 1.4K citations

    15

    h-index

  2. AA
    Alireza Amiri-Simkooei

    University of Isfahan, Iran

    11 publications · 1.1K citations

    11

    h-index

  3. RT
    R. Thompson

    Rothamsted Research, United Kingdom

    10 publications · 2K citations

    10

    h-index

  4. LS
    L.R. Schaeffer

    University of Guelph, Canada

    9 publications · 369 citations

    9

    h-index

  5. IM
    I. Misztal

    University of Georgia, United States

    9 publications · 579 citations

    9

    h-index

1–5 of 1.4K

Venues

  1. Biometrics

    47 publications · 6.9K citations

    30

    h-index

  2. Journal of the American Statistical Association

    41 publications · 5.6K citations

    26

    h-index

  3. Technometrics

    29 publications · 1.7K citations

    19

    h-index

  4. Journal of Geodesy

    21 publications · 1.5K citations

    19

    h-index

  5. Journal of Dairy Science

    JDS · 18 publications · 1.5K citations

    16

    h-index

1–5