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Split-plot designs: discussion and examples
International Journal of Quality Engineering and Technology, 2010Split-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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Constrained Split-Plot Designs
2002It 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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Split-Plot Design: A Robust Analysis
1996This 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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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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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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Euphytica, 2010
The paper shows how the α-design (also known as generalised lattice) may be used for constructing incomplete split-plot designs and describes four different methods (A, B, C and D) of construction. Intra-block efficiency factors and theoretical considerations are used to compare the methods.
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The paper shows how the α-design (also known as generalised lattice) may be used for constructing incomplete split-plot designs and describes four different methods (A, B, C and D) of construction. Intra-block efficiency factors and theoretical considerations are used to compare the methods.
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2006
pubblicazione in quaderni di ricerca del Dipartimento di Statistica (online)
BERNI, ROSSELLA, PALLOTTINI A.
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pubblicazione in quaderni di ricerca del Dipartimento di Statistica (online)
BERNI, ROSSELLA, PALLOTTINI A.
openaire +1 more source