Optimize your products and processes with accurate prediction models. In this webinar, learn how to get the most out of your response surface method (RSM) design by following a few key analysis steps. See how automated model-reduction tools build simpler models that predict more precisely. Then discover how diagnostics confirm your model’s validity. Finally, learn how key statistics like lack of fit and various R-squared measures characterize the polynomial model. All these tools are used together to guide researchers towards their goal of process optimization.
Download the slides: https://cdn.statease.com/media/public/documents/2023-11_Keys_to_Analyzing_an_RSM_Design.pdf
Keys to building the design: https://youtu.be/trKHFmNoQsQ
Doing formulations? Use mixtures instead: https://www.youtube.com/watch?v=yWDDCeQ0JVA
See RSM in action: https://www.youtube.com/watch?v=qnF7M3tRO1w
Subscribe to our newsletters to be notified about upcoming webinars: https://www.statease.com/publications/signup
Stat-Ease, Inc. www.statease.com
Facebook: https://www.facebook.com/Stat-Ease-Inc
Instagram: https://www.instagram.com/stateaseinc
LinkedIn: https://www.linkedin.com/groups/1774153/