Utilization of JMP's experimental design features in the manufacturing industry.
For researchers and engineers in the manufacturing industry: How many data points are needed for a t-test? Learning experimental design with the statistical analysis software JMP and techniques for utilizing Bayesian optimization.
JMP is software that not only excels in statistical analysis and graph creation but also has robust features for experimental design. By utilizing experimental design, efficient data collection can be achieved while keeping time and costs down. In this seminar, we will focus on the features of experimental design, specifically the sample size explorer and Bayesian optimization, and present examples of their application in the manufacturing industry in a demonstration format. ▼Details & Registration https://www.jmp.com/ja/events/live-webinars/discovery-seminar-series/2026/10-09
- Company：SAS Institute Japan JMP Japan Division
- Price：Other
