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A Split-Plot Analysis for Microarray Experiments
2004http:\\digital.casalini.it ...
BERNI, ROSSELLA +1 more
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Supersaturated Split-Plot Designs
Journal of Quality Technology, 2013Methods to construct supersaturated split-plot designs (SSSPDs) are presented. The authors use an E(s²)-optimal supersaturated design (SSD) in the whole-plot and half fractions of Plackett-Burman designs (PBDs) in the split plot. It is shown that (1) the resulting split-plot design has orthogonal columns, (2) the split-plot columns are orthogonal to ...
Woon Yuen Koh +2 more
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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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Blocking in incomplete split plot designs
Biometrika, 1970SUMMARY 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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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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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: 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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The split-plot design with covariance
2018A split-plot data structure is usually modelled by a linear classificatory model with a 0,1 model matrix and with error consisting additively of independent Gaussian errors. Statistical analysis of such a data structure in the usual mode involves then two components of error variance.
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