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Split Plot Models

1987
In an experiment with at least two factors, it is sometimes convenient to apply some of the factors to large experimental units (called whole plots) and then to split the large units into smaller parts on which the remaining factors are applied. The subdivisions of the whole plots are called subplots or split plots.
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Split plot design

Nature Methods, 2015
Naomi, Altman, Martin, Krzywinski
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Blocking in incomplete split plot designs

Biometrika, 1970
SUMMARY An incomplete split plot design with whole plots arranged in a completely randomized design was proposed by Robinson (1967). In this note, designs in which the whole plots are arranged in blocks, are considered. A method of construction and estimates of treatment effects are given. Robinson (1967) discussed certain incomplete split plot designs
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Split-plot designs: discussion and examples

International Journal of Quality Engineering and Technology, 2010
Split-plot designs and the appropriate statistical analysis of the resulting data are frequently misunderstood by industrial experimenters. The objective of this tutorial paper is to review split-plot designs for full and fractional factorial experiments, explain why they often arise in industrial experiments, and provide several illustrative examples.
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Split-Plot Design: A Robust Analysis

1996
This paper is devoted to the examination of the robustness of standard split-plot analysis for a two factors design with complete blocks under normality assumptions. For instance, in ceramics firing, the main factors are the oven temperature A and the clay mixture B.
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Split-plot design.

2004
M. Kaps, W. R. Lamberson
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Constrained Split-Plot Designs

2002
It often happens that all the experimental runs within one group have the same level for one or more factors under investigation. Typically, these factors are hard to change or to control. The resulting design is then called a split-plot design. The groups of a split-plot design are referred to as whole plots and they are divided in so-called sub-plots.
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The Split-Plot Design

2014
For the split-plot design, we are concerned with two or more factors, but we wish for more precise information on some of them than on others. If we are interested in more accurate information, for instance, on factor B than on A, then the usual scheme is to assign the various levels of factor A at random to whole plots (main plots) in each replicate ...
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