Results 211 to 220 of about 128,422 (258)
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Statistics & Probability Letters, 1984
This paper deals with the analysis of split plot designs in which the number of sub-plots within the whole plot is less than the levels of the factors attached to the sub-plots. This is a particular case of incomplete block designs. The analysis is based on the generalized least squares theory.
Mejza, Iwona, Mejza, Stanisław
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This paper deals with the analysis of split plot designs in which the number of sub-plots within the whole plot is less than the levels of the factors attached to the sub-plots. This is a particular case of incomplete block designs. The analysis is based on the generalized least squares theory.
Mejza, Iwona, Mejza, Stanisław
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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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Square Lattice Designs in Incomplete Split-Plot Designs
Journal of Statistical Theory and Practice, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kuriki, Shinji, Nakajima, Kiyoaki
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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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Model-robust designs for split-plot experiments
Computational Statistics & Data Analysis, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Byran J. Smucker +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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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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Experiment with Split‐Plot Generated by PBIB Designs
Biometrical Journal, 1994AbstractThe paper refers to the construction of two‐factor experiments carried out in incomplete split‐plot design in which levels of both factors occur as treatments in PBIB designs. It presents also the analysis of variance of these experiments based on partial analyses in the so called strata.
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