Orthogonal Arrays

Orthogonal Arrays is a structured experimental design framework that belongs to the class of factorial designs and is distinguished by its property of ensuring that all levels of each factor are balanced and uncorrelated with the levels of every other factor, allowing independent estimation of main effects and interactions.

605

Publications

28.5K

Citations

1.2K

Authors

554

Institutions

Publications per year

2017–2026

103

Authors

1.2K

  1. BT
    Boxin Tang

    Simon Fraser University, Canada

    16 publications · 1.5K citations

    14

    h-index

  2. ML
    Min‐Qian Liu

    Nankai University, China

    17 publications · 364 citations

    13

    h-index

  3. SP
    Shanqi Pang

    Henan Normal University, China

    14 publications · 331 citations

    13

    h-index

  4. DK
    Dennis K. J. Lin

    Pennsylvania State University, United States

    11 publications · 257 citations

    10

    h-index

  5. HW
    Hartwig Wolburg

    University of Tübingen, Germany

    10 publications · 423 citations

    10

    h-index

1–5 of 1.2K

Venues

  1. Technometrics

    27 publications · 3.3K citations

    20

    h-index

  2. Journal of Statistical Planning and Inference

    31 publications · 716 citations

    18

    h-index

  3. The Annals of Statistics

    23 publications · 1K citations

    18

    h-index

  4. Biometrika

    17 publications · 900 citations

    16

    h-index

  5. Discrete Mathematics

    10 publications · 256 citations

    10

    h-index

1–5