topic Re: Attachment is failure rate for one material from different lot which was built in different timeframe, how to use JMP to predict the long term upbound failure rate? in Discussions https://community.jmp.com/t5/Discussions/Attachment-is-failure-rate-for-one-material-from-different-lot/m-p/655449#M84453 <P>Can you provide some more detail?&nbsp; Are the lots in chronological order (time series) or are they just sorted from high to low failure rates?&nbsp; I suspect it is the former in which case you can try to fit time series models to this data.&nbsp; On the other hand, just a graphical exploration may be sufficient.&nbsp; I find that a simple power function fits this data quite well (failure rate = 57813*time^-0.668).&nbsp; Graphically, assuming this is a time series, the failure rate appears to be stabilizing and the long-run prediction from that power function might be appropriate - but I'd need more information to know if that makes any sense).</P> Wed, 05 Jul 2023 13:07:35 GMT dale_lehman 2023-07-05T13:07:35Z Attachment is failure rate for one material from different lot which was built in different timeframe, how to use JMP to predict the long term upbound failure rate? https://community.jmp.com/t5/Discussions/Attachment-is-failure-rate-for-one-material-from-different-lot/m-p/655084#M84423 Tue, 04 Jul 2023 13:22:47 GMT https://community.jmp.com/t5/Discussions/Attachment-is-failure-rate-for-one-material-from-different-lot/m-p/655084#M84423 Jack_Tang 2023-07-04T13:22:47Z Re: Attachment is failure rate for one material from different lot which was built in different timeframe, how to use JMP to predict the long term upbound failure rate? https://community.jmp.com/t5/Discussions/Attachment-is-failure-rate-for-one-material-from-different-lot/m-p/655449#M84453 <P>Can you provide some more detail?&nbsp; Are the lots in chronological order (time series) or are they just sorted from high to low failure rates?&nbsp; I suspect it is the former in which case you can try to fit time series models to this data.&nbsp; On the other hand, just a graphical exploration may be sufficient.&nbsp; I find that a simple power function fits this data quite well (failure rate = 57813*time^-0.668).&nbsp; Graphically, assuming this is a time series, the failure rate appears to be stabilizing and the long-run prediction from that power function might be appropriate - but I'd need more information to know if that makes any sense).</P> Wed, 05 Jul 2023 13:07:35 GMT https://community.jmp.com/t5/Discussions/Attachment-is-failure-rate-for-one-material-from-different-lot/m-p/655449#M84453 dale_lehman 2023-07-05T13:07:35Z