D-optimal design of split-split-plot experiments
Biometrika , Volume 96 - Issue 1 p. 67- 82
In industrial experimentation, there is growing interest in studies that span more than one processing step. Convenience often dictates restrictions in randomization in passing from one processing step to another. When the study encompasses three processing steps, this leads to split-split-plot designs. We provide an algorithm for computing D-optimal split-split-plot designs and several illustrative examples.
|D-optimality, coordinate-exchange algorithm, hard-to-change factor, mult-straum design, split-plot design, split-split-plot design|
|ERIM Article Series (EAS)|
|Organisation||Erasmus Research Institute of Management|
Jones, B, & Goos, P.P. (2009). D-optimal design of split-split-plot experiments. Biometrika, 96(1), 67–82. Retrieved from http://hdl.handle.net/1765/19555