Split-plot Factorial Designs

Split-Plot Factorial Designs is a type of experimental design that belongs to the class of factorial designs and is distinguished by the presence of two or more treatment factors applied at different levels of experimental units, where one factor is applied to whole-plots and another to sub-plots, leading to a nested error structure.

796

Publications

27.3K

Citations

2.5K

Authors

645

Institutions

Publications per year

2017–2026

210

Variants

Split-plot Factorial Design

Authors

2.5K

  1. RR
    R. R. Sitter

    Simon Fraser University, Canada

    7 publications · 622 citations

    7

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  2. DB
    Derek Bingham

    Simon Fraser University, Canada

    6 publications · 595 citations

    6

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  3. PG
    Peter Goos

    University of Antwerp, Belgium

    6 publications · 258 citations

    6

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  4. RZ
    Runchu Zhang

    Nankai University, China

    6 publications · 125 citations

    6

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  5. SZ
    Shengli Zhao

    Qufu Normal University, China

    6 publications · 96 citations

    6

    h-index

1–5 of 2.5K

Venues

  1. Journal of Animal Science

    39 publications · 1.3K citations

    22

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  2. Journal of Quality Technology

    13 publications · 991 citations

    12

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  3. Technometrics

    12 publications · 873 citations

    12

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  4. Journal of Plant Nutrition

    11 publications · 285 citations

    11

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  5. 11

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1–5