Results 191 to 200 of about 621,908 (253)
Optimal split‐plot orthogonal arrays
Australian & New Zealand Journal of Statistics, 2017 SummaryIt is well known that many industrial experiments have split‐plot structures. Compared to completely randomised experiments, split‐plot designs are more economical and thus have received much attention among researchers. Much work has been done for two‐level split‐plot designs.
Yang, Po, Lin, Chang-Yun
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Journal of Quality Technology, 1973
The nature and uses of the split-plot design are discussed. An initial section reviews models and least squares to establish a point of view. The major section presents the development of a simple split-plot design by a process of "evolution,"..
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The nature and uses of the split-plot design are discussed. An initial section reviews models and least squares to establish a point of view. The major section presents the development of a simple split-plot design by a process of "evolution,"..
exaly +2 more sources
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.
Johannes Ledolter
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A Permutation Approach to Split-Plot Experiments
Communications in Statistics - Simulation and Computation, 2013 Split-plot design may be refer to a common experimental setting where a particular type of restricted randomization has occurred during a planned experiment. The aim of this article is to suggest a new method to perform inference on split-plot experiments by combination-based permutation tests.
CORAIN, LIVIO +2 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 ...
Kent M Eskridge, Milford A Hanna
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Quality and Reliability Engineering International, 2007
AbstractIn many experimental situations, practitioners are confronted with costly, time consuming, or hard‐to‐change (HTC) factors. These practical or economic restrictions on randomization can be accommodated with a split‐plot design structure that minimizes the manipulation of the HTC factors.
Peter A. Parker +3 more
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AbstractIn many experimental situations, practitioners are confronted with costly, time consuming, or hard‐to‐change (HTC) factors. These practical or economic restrictions on randomization can be accommodated with a split‐plot design structure that minimizes the manipulation of the HTC factors.
Peter A. Parker +3 more
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Biometrics, 1967
A split plot design for the factorial treatment combinations of factors A and B with t and s levels respectively, consists of wholeplots made up of s subplots or experimental units with each level of A applied to r wholeplots and the levels of B applied to the s subplots within each wholeplot.
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A split plot design for the factorial treatment combinations of factors A and B with t and s levels respectively, consists of wholeplots made up of s subplots or experimental units with each level of A applied to r wholeplots and the levels of B applied to the s subplots within each wholeplot.
openaire +2 more sources