This is the on-demand version of the seminar held on March 5, 2026. The seminar content has been edited, and you can watch the videos by topic.
■Seminar Overview
JMP's "Profile" feature is a convenient function that visualizes the relationship between explanatory variables (factors) and dependent variables (responses) in a statistical model, allowing you to intuitively understand that relationship.
Profiles include "predictive profiles," "surface profiles," and "contour profiles," allowing for visualization and analysis of relatively complex models such as response surface models and neural networks from various angles.
This seminar will focus on these profile features, clearly explaining what you can do with profiles, when they are useful, and providing practical examples of their application.
■Table of Contents
- Response surface and profile
- What you can do with JMP's "Profiles"
- About "Predictive Profiles"
- Examples of use with observational data
- Examples of how to use data obtained from experimental design
*The latest version available at the time of the seminar, "JMP 19.0.5," was used.
1. Response Surface and Profile (9 minutes 23 seconds)
2. What you can do with JMP's "Profile" (15 minutes 39 seconds)
3. About "Predictive Profiles" (18 minutes 15 seconds)
- The principle of "predictive profiling"
- Understanding Interactions
- optimization
4. Examples of application with observational data (20 minutes 9 seconds)
Key points: Comparison of multiple models, evaluation of variable importance.
5. Examples of using data obtained from experimental design (14 minutes 53 seconds)
Key point: simulator, simulation experiment
