Orthogonal Contrasts

Orthogonal Contrasts is a type of linear contrast among treatment means in a Completely Randomized Design that is statistically independent of other contrasts in the set, such that the sum of the products of their coefficients is zero, allowing for non-redundant and uncorrelated hypothesis tests.

119

Publications

9.8K

Citations

359

Authors

166

Institutions

Publications per year

2017–2026

17

Authors

359

  1. JI
    John I. Marden

    University of Illinois Urbana-Champaign, United States

    5 publications · 168 citations

    5

    h-index

  2. CW
    Charles W. Dunnett

    McMaster University, Canada

    3 publications · 379 citations

    3

    h-index

  3. KC
    Kyungmee Choi

    Hongik University, South Korea

    2 publications · 100 citations

    2

    h-index

  4. CD
    Cuthbert Daniel

    City University of Seattle, United States

    2 publications · 986 citations

    2

    h-index

  5. MC
    M. C. Pereira

    Universidade Estadual Paulista (Unesp), Brazil

    2 publications · 29 citations

    2

    h-index

1–5 of 359

Venues

  1. Journal of the American Statistical Association

    10 publications · 627 citations

    10

    h-index

  2. Technometrics

    5 publications · 1.1K citations

    5

    h-index

  3. Biometrics

    4 publications · 3.4K citations

    4

    h-index

  4. Journal of Animal Science

    4 publications · 195 citations

    4

    h-index

  5. 3

    h-index

1–5