Variance Components

Variance Components is a statistical parameter in Generalizability Theory that represents the proportion of total observed score variance attributable to a specific source of variation, such as persons, facets, or interactions, within a multivariate measurement design.

1.6K

Publications

248K

Citations

2.3K

Authors

962

Institutions

Publications per year

2017–2026

108

Authors

2.3K

  1. SR
    S. R. Searle

    Cornell University, United States

    20 publications · 1.5K citations

    18

    h-index

  2. FA
    Franklin A. Graybill

    Colorado State University, United States

    17 publications · 706 citations

    15

    h-index

  3. WJ
    W. J. Krzanowski

    University of Exeter, United Kingdom

    10 publications · 971 citations

    10

    h-index

  4. TM
    Thomas Mathew

    University of Maryland, Baltimore County, United States

    10 publications · 307 citations

    10

    h-index

  5. RT
    R. Thompson

    Rothamsted Research, United Kingdom

    10 publications · 2K citations

    10

    h-index

1–5 of 2.3K

Venues

  1. Biometrika

    89 publications · 44.1K citations

    44

    h-index

  2. Biometrics

    80 publications · 12.6K citations

    43

    h-index

  3. Journal of the American Statistical Association

    93 publications · 12.3K citations

    40

    h-index

  4. Technometrics

    68 publications · 8.1K citations

    35

    h-index

  5. The Annals of Mathematical Statistics

    48 publications · 4.8K citations

    28

    h-index

1–5