Scott
May 10th, 2007, 10:20 AM
I am working on sample size estimates of a reliability demonstration test using Monte Carlo simulation (SimuMatic). The life distribution histroically is a Weibull with beta less than 1 and eta in the few million hour range.
Typically for few failures (<5) we force the beta to a historical value but for larger numbers of failures a 2 parameter MLE fit is used. This difference in the analysis isn't possible to specify in the SimuMatic tool, as a result the confidence bounds shown are "wrong". The only way I know to get around this would be to copy and paste all the individual Monte Carlo raw data sets into Weibull++ folios and run the 1-parameter fits on the populations that had few fails.
Anyone know how to get around this?
Thanks,
Scott
Typically for few failures (<5) we force the beta to a historical value but for larger numbers of failures a 2 parameter MLE fit is used. This difference in the analysis isn't possible to specify in the SimuMatic tool, as a result the confidence bounds shown are "wrong". The only way I know to get around this would be to copy and paste all the individual Monte Carlo raw data sets into Weibull++ folios and run the 1-parameter fits on the populations that had few fails.
Anyone know how to get around this?
Thanks,
Scott