Advantages
Optimal designs offer three advantages over suboptimal experimental designs:
- Optimal designs reduce the costs of experimentation by allowing statistical models to be estimated with fewer experimental runs.
- Optimal designs can accommodate multiple types of factors, such as process, mixture, and discrete factors.
- Designs can be optimized when the design-space is constrained, for example, when the mathematical process-space contains factor-settings that are practically infeasible (e.g. due to safety concerns).
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