Factorial Designs

Factorial Design is an experimental design that involves two or more independent variables, or factors, each with two or more levels, wherein all possible combinations of the levels of the factors are tested to examine both main effects and interaction effects.

2.1K

Publications

180.1K

Citations

3.4K

Authors

1.3K

Institutions

Publications per year

2017–2026

245

Authors

3.4K

  1. GE
    George E. P. Box

    University of Wisconsin–Madison, United States

    21 publications · 13.1K citations

    20

    h-index

  2. DK
    Dennis K. J. Lin

    Pennsylvania State University, United States

    29 publications · 1.9K citations

    19

    h-index

  3. NR
    Norman R. Draper

    University of Wisconsin–Madison, United States

    25 publications · 6.1K citations

    17

    h-index

  4. RZ
    Runchu Zhang

    Nankai University, China

    19 publications · 519 citations

    15

    h-index

  5. EB
    Edgar Brunner

    University of Göttingen, Germany

    16 publications · 1.6K citations

    15

    h-index

1–5 of 3.4K

Venues

  1. Technometrics

    238 publications · 34K citations

    76

    h-index

  2. Journal of the American Statistical Association

    66 publications · 10.8K citations

    34

    h-index

  3. Biometrika

    58 publications · 6.9K citations

    32

    h-index

  4. Journal of Quality Technology

    74 publications · 3.4K citations

    31

    h-index

  5. The Annals of Statistics

    42 publications · 2.4K citations

    28

    h-index

1–5