This is an on-demand version of the webinar held on June 26, 2025, "For Manufacturing: How to Screen Important Factors from Large Amounts of Measurement Data Using JMP - Focusing on Responses, Explanatory Variables, and Processes."
The contents of the seminar have been condensed and summarized into four chapters.
In statistical analysis, "screening" refers to the process of filtering out useful variables from among many others. This seminar will explain the features of JMP's screening functions, "response screening," "explanatory variable screening," and "process screening," along with practical examples.
*The latest version used at the time of the seminar was JMP 18.2.1.
*On-demand handouts can be downloaded from this page.
1. Screening important variables from many (4 minutes 30 seconds)
- Introduction to this seminar
- Screening variables in statistical models
- JMP's Platform for Screening
2. Response Screening
2-1. Consider the data before screening (11 minutes 18 seconds)
2-2. Response screening (14 minutes 21 seconds)
3. Screening of explanatory variables (8 minutes 53 seconds)
4. Process Screening (12 minutes 46 seconds)
