Published on 11-07-202403:29 PM by
gail_massari| Updated on 11-07-202405:38 PM
See how to:
Determine which designed experiment for a product, process, or behavior is most suitable for your needs based on what can be estimated, how precise the estimations are and the effect of leaving things out of the model
Build and compare a Custom Design, Definitive Screening Design and an augmented Plackett-Burman-like Design for a product with two categorical and seven continuous factors
See how to:
Compare three different designs
Us epower analysis to help determine which factors might be identified as useful for determining the probability of detecting a real signal
Identify which portion of the design space is below a certain variance
Plot the prediction variance surface as a function of the design factors
