Block Effects Estimation

Block Effects Estimation is a statistical method used in randomized block designs to isolate and quantify the variation attributable to blocking factors by comparing treatment outcomes within homogeneous blocks, thereby enhancing the precision of treatment effect estimates.

122

Publications

11.7K

Citations

202

Authors

129

Institutions

Publications per year

2017–2026

5

Authors

202

  1. MJ
    Mike Jacroux

    Washington State University, United States

    6 publications · 109 citations

    6

    h-index

  2. RW
    Ruizhong Wei

    Lakehead University, Canada

    4 publications · 109 citations

    4

    h-index

  3. RJ
    R. J. Martin

    University of Sheffield, United Kingdom

    3 publications · 73 citations

    3

    h-index

  4. NR
    Norman R. Draper

    University of Wisconsin–Madison, United States

    3 publications · 63 citations

    3

    h-index

  5. JA
    J. A. Eccleston

    The University of Queensland, Australia

    3 publications · 73 citations

    3

    h-index

1–5 of 202

Venues

  1. Biometrika

    12 publications · 4.8K citations

    11

    h-index

  2. Journal of the American Statistical Association

    10 publications · 549 citations

    10

    h-index

  3. Journal of Statistical Planning and Inference

    9 publications · 246 citations

    9

    h-index

  4. Technometrics

    8 publications · 369 citations

    8

    h-index

  5. Biometrics

    7 publications · 674 citations

    7

    h-index

1–5