Split-plot design for mixture experiments with process variables: A comparison of design strategies

It was found that the different designs have different properties when it comes to precision of coefficient estimates. While D-optimal designs produce overall good precision for all coefficients, projection designs have the possibility to prioritise between coefficients, i.e. assure that some coefficients are more precisely estimated than others. The predictive abilities of the fitted models were quite similar for all the designs.