Using Optimal Designs to Solve Practical Experimental Problems

presented by Patrick Whitcomb

Discover the secrets to customizing your experiments using optimal designs. When standard (canned) response surface designs are unsuitable due to operational or physical constraints, optimal (custom) designs may be the answer. During this webinar, gain a greater understanding of the statistical and practical differences between D and I-optimality. Learn the importance of considering multiple criteria when building an optimal design, such as adding lack of fit points and replicates. All these issues are considered at a practical level – keeping the actual experimenters in mind. This brings to the forefront such considerations as subject matter knowledge (first principles), factor choice, and the feasibility of the experiment design.