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Showing 1 to 5 of 5 for “"Restricted Randomization"”.
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Response Surface Design and Analysis in the Presence of Restricted Randomization
Practical restrictions on randomization are commonplace in industrial experiments due to the presence of hard-to-change or costly-to-change factors. Employing a split-plot design structure minimizes the number of required experimental settings for the hard-to-change factors. In this research, we …
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Recommendations for Design Parameters for Central Composite Designs with Restricted Randomization
In response surface methodology, the central composite design is the most popular choice for fitting a second order model. The choice of the distance for the axial runs, alpha, in a central composite design is very crucial to the performance of the design. In the literature, there are plenty of …
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Second-order sub-array Cartesian product split-plot design
… of experiments: factorization, replication, randomization, and local control of error. In industrial experiments, however, departure from these principles is commonplace. Many industrial experiments involve situations in which complete randomization may not be feasible because the factor …