Reliability analysis can be useful for more than using repeat measures to evaluate how consistently a process produces results. JMP reliability tools can also analyze data that has a time component, whether it's time to an event or time between events and evaluate data that shows dramatic changes in results abruptly or over time. See how to recognize these different types of reliability data and use JMP reliability tools to understand outcomes.
This webinar covers: Distributions, Recurrence Analysis, DOE, Fit Model Parametric Survival and Reliability Growth
Suggested Prerequisites:
- Basic understanding of JMP data and report navigation
- Familiarity with JMP or other reliability software