Restricted Maximum Likelihood Estimation

Restricted Maximum Likelihood Estimation is a statistical estimation method that belongs to the class of likelihood-based inference techniques, distinguished by its approach of maximizing the likelihood of a transformed subset of the data to produce unbiased estimates of variance components in multilevel and meta-analytic models.

459

Publications

51.5K

Citations

1.4K

Authors

458

Institutions

Publications per year

2017–2026

42

Authors

1.4K

  1. KM
    Karin Meyer

    University of New England, Australia

    20 publications · 3.1K citations

    19

    h-index

  2. LV
    L.D. Van Vleck

    Cornell University, United States

    9 publications · 370 citations

    9

    h-index

  3. IM
    I. Misztal

    University of Georgia, United States

    9 publications · 306 citations

    9

    h-index

  4. RT
    R. Thompson

    Rothamsted Research, United Kingdom

    7 publications · 1.5K citations

    7

    h-index

  5. WG
    William G. Hill

    University of Edinburgh, United Kingdom

    7 publications · 727 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. Journal of the American Statistical Association

    25 publications · 4.7K citations

    18

    h-index

  2. Journal of Animal Breeding and Genetics

    19 publications · 907 citations

    16

    h-index

  3. Journal of Animal Science

    20 publications · 1.1K citations

    15

    h-index

  4. Biometrics

    15 publications · 8K citations

    15

    h-index

  5. Journal of Dairy Science

    JDS · 15 publications · 1.2K citations

    13

    h-index

1–5