Designing Mixture Experiments - Part 2
Design of Experiments
See JMP mixture designs options that support experimental situations where properties of a blend of components depend more on the relative proportions than on the absolute amounts being mixed. Learn how to create, analyze and interpret the results of several types of mixture designs. In Part 2, see two case studies that demonstrate principles described in Part 1. Case studies include imixtures that have more than three factors and more than one response of interest.
This webinar covers: creating and analyzing a designed experiment for mixtures of continuous, categorical and blocking variables; handling multiple constraints on both the mixture and non-mixture parts of the process.