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• JMP > Proportional Hazard with Continuous parameter > Cutoff Optimization

  Hi JMP Community, JMP 16.1 Standard Windows   This might be a naive question. I am exploring the impact of a continuous baseline variable on the survival of subjects using the Proportional Hazard platform. I identified some factors with strong associations (see one example below), but I am still determining how to visualize this relationship.    For example, I can create a survival plot if I crea...

  Thierry_S

  Discussions |

  Mar 21, 2023 6:50 AM

  1874 views | 3 replies

• How to output probability value from Life Distribution?

  Hi, I did some reliability fitting by Life Distribution in Reliability and Survival, and I would like to output probability value from Life Distribution. Anyone knows?

  YK-Chang

  Discussions |

  Feb 22, 2023 8:54 AM

  3040 views | 6 replies

• Classifying audio files

  Is there a way to process raw audio files with or without metadata? Having a microphone installed to detect noise is a cheap way to protect equipment and personnel from damage. However, it would be much more efficient if the sound is classified (as being false alarm, object loose etc). Can a model be trained in JMP for that purpose?

  Sop

  Discussions |

  Feb 9, 2023 8:36 AM

  1302 views | 2 replies

• Why are my fit models showing different factor significance? In "model 1", Random Block is a Random Effect rather than a Fixed Effect, whereas "model 2" lists all the factors as Fixed Effects.

  When I clicked Fit Model, "model 1" popped up, including "Random Block & Random" as a factor, which means "Random Block" is a Random rather than Fixed Effect. However, When I run "model 2" with just "Random Block" as a factor, everything becomes less efficient. Which is more correct and why? Also, I'm used to the Model 2 output, in which I can click on Scaled Estimates. And I was taught at a JMP t...

  evtran

  Discussions |

  Dec 23, 2022 8:45 PM

  1855 views | 3 replies

• What exactly is "Location relationship" in reliability tool? (fit life by X)

  Hello,I'm using JMPpro for reliability data analysis.I understand that "fit life by X" tool can be used for ALT data analysis and the "relationship" seems to show an accelerated test condition-lifetime relationship(Arrhenius, Linear etc.). What is "Location" and "no effect"? JMP help document says: Location means that μ is different for every level of XDoes this mean that it is used when there is ...

  LikelihoodPanda

  Discussions |

  Dec 12, 2022 7:26 PM

  1683 views | 2 replies