Mixed-strain housing for female C57BL/6, DBA/2, and BALB/c mice: validating a split-plot design that promotes refinement and reduction [PDF]
BMC Medical Research Methodology, 2016 Background Inefficient experimental designs are common in animal-based biomedical research, wasting resources and potentially leading to unreplicable results. Here we illustrate the intrinsic statistical power of split-plot designs, wherein three or more
Michael Walker +5 more
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Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology. [PDF]
Sci Rep, 2017 A novel method, BBD-SSPD is proposed by the combination of Box-Behnken Design (BBD) and Split-Split Plot Design (SSPD) which would ensure minimum number of experimental runs, leading to economical utilization in multi- factorial experiments.
Arun VV +7 more
europepmc +2 more sources
Construction of Optimal Split-Plot Designs for Various Design Scenarios
Fractal and Fractional, 2022 When performing fractional factorial experiments in a completely random order is impractical, fractional factorial split-plot designs are suitable options as an alternative. It is well recognized that the more there are lower order effects of interest at
Beichen Han, Yuna Zhao
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Points of Significance: Split plot design
Nature Methods, 2015 Naomi Altman, Martin Krzywinski
semanticscholar +3 more sources
Reconciling design-based and model-based causal inferences for split-plot experiments [PDF]
Annals of Statistics, 2021 The split-plot design arose from agricultural science with experimental units, also known as the sub-plots, nested within groups known as the whole-plots. It assigns different interventions at the whole-plot and sub-plot levels, respectively, providing a
Anqi Zhao, Peng Ding
semanticscholar +1 more source
Minimum Aberration Split-Plot Designs Focusing on the Whole Plot Factors
Mathematics, 2022 In some experiments, the levels of some factors are difficult to change; then fractional factorial split-plot (FFSP) designs are suitable for selection.
Minyang Hu, Shengli Zhao
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Split-Plot Designs with Few Whole Plot Factors Containing Clear Effects
Fractal and Fractional, 2022 Fractional factorial split-plot designs are widely used when it is impractical to perform fractional factorial experiments in a completely random order.
Yuna Zhao
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Estimation of Optimum Plot Size in Split-Split Plot Design Used in Field Experiment [PDF]
The Egyptian Statistical Journal, 1999 Estimates of soil heterogeneity are obtained from Split-Split plot design. A weighted regression analysis method is used to determine the soil heterogeneity from the analysis of variance technique of the above design.
Saiful Islam +3 more
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Nonlinear split-plot design modeling and analysis of rice varieties yield
Scientific African, 2023 In this research, a class of nonlinear split plot design models where the mean function of the split-plot model is not linearizable is presented. This was done by fitting intrinsically nonlinear split-plot design (INSPD) models using the Chapman-Richards
I.J. David, O.E. Asiribo, H.G. Dikko
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Acta Technologica Agriculturae, 2023 This research aims to study the effect of the number of harvest rows under two digging depths and cultivars on the quality of harvesting potatoes (damage and losses). The experiment was factorial, using a randomised complete block design with split-split
Tofeq Othman M. M.
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