Designing Experiments with Hard-to-Change FactorsMaster the art of experimental design in challenging scenarios in this workshop. Discover how JMP Custom Design empowers you to tackle real-world industrial problems where factors are difficult to change between runs. Through an engaging case study, learn to create optimal split-plot designs and analyze the experimental data using restricted maximum likelihood estimation (REML). Ideal for intermediate to advanced JMP users, this workshop builds on your knowledge of ANOVA, regression, and DOE principles.
