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Live Course - JMP®: Reliability Analysis for Non-Repairable Systems - March 19 - 22 | 1:00 - 4:30 p.m. ET

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Published on ‎02-19-2024 04:03 PM by Staff | Updated on ‎02-19-2024 04:03 PM

4 Day Course

Tuesday, March 19 | 1:00 p.m. - 4:30 p.m. ET

Wednesday, March 20 | 1:00 p.m. - 4:30 p.m. ET

Thursday, March 21 | 1:00 p.m. - 4:30 p.m. ET

Friday, March 22 | 1:00 p.m. - 4:30 p.m. ET

 

This course is for anyone who needs to analyze data, using JMP, about how long an object (reliability) or person (survival) operates within acceptable parameters ("time to event"). The course is presented using manufacturing examples, but those interested in survival analysis or studying recidivism will also find the course useful.

 

Learn how to: 

  • Distinguish unique characteristics of life data.
  • Compute non-parametric (Kaplan-Meier product-limit) estimates of failure probability.
  • Fit distribution models specific to life data.
  • Estimate reliability or survival measures and hazard.
  • Estimate survival in the presence of competing causes.
  • Use parametric survival models to estimate effects of covariates or experimental factors.
  • Design an accelerated life test.

Duration: 4 half-day sessions

Registration Fee: $400 US

 

Learn more, and register, at JMP®: Reliability Analysis for Non-Repairable Systems. 


Start:
Tue, Mar 19, 2024 01:00 PM EDT
End:
Fri, Mar 22, 2024 04:30 PM EDT
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