Speakers: Christopher Gotwalt, JMP Global Chief Data Scientist
the speech topic : Finding the Golden Curve: Implementing Functional Response DOE Analysis
Speech abstract:
Engineers and scientists often need to think in terms of mathematical functions or curves that describe the behavior over time or under certain conditions, such as dose-response curves, chromatographic curves, curves of viscosity and shear, current and voltage relationship, etc. In recent years, modeling data from Design of Experiments (DOE) has made it possible to extract just one number from a curve and apply the classical DOE method. With JMP Pro, you can directly model how the shape of the prediction curve changes as the input variables change. In JMP Pro, you can even define a "golden curve", the ideal curve you want to match. With just a few mouse clicks, JMP Pro will find the combination of factor settings that best matches the golden curve. This technology has been widely used in bioassays, drug purity and stability studies, consumer products and semiconductor R&D. We see a lot of interest in functional DOE analysis from many in the industry. Therefore, in this talk, Chris will introduce the basic concepts of functional DOE analysis and demonstrate, using real-world case studies, that anyone using JMP to analyze classic experimental data can easily get started with this technique.