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Latest Discussions

• Sample size for Reliability Life Test

  I have used the interval explorer for parametric reliability life test planning for sample size calculation of accelerated life test. Please can someone confirm if the sample size returned is the total sample size or sample size per stress levels? Assuming I have 3 temperature levels, do I use 75 samples per temperature level or 25?

  EngrAkin

  Discussions |

  Dec 11, 2024 7:11 AM

  687 views | 0 replies

• Could JMP show in a single graph a sensitivity analysis and the probability of occurrence of a result?

  Hello Community!Attached is the script "Hogi chart calculates risk and probability", an excellent work by HOGI ... which calculates the risks and probabilities of occurrence of an input or multiple inputs (x), of an output or multiple outputs (Y) or their combination in a table. For example:Would it be possible to expand the capacity of the script to make a sensitivity analysis of the inputs (x) o...

  Marco2024

  Discussions |

  Oct 2, 2024 5:15 PM

  705 views | 0 replies

• Multinomial Logistic Regression Confidence for Specific Parameter Changes

  Hi,  I have a multinomial logistic regression of 3 classes: 0, 1, and 2 and have associated individual models (via Fit Y by X) for N parameters. I am now looking into a sensitivity like study in which each parameter is assumed at certain levels (e.g. at min, max etc..). I have probabilities computed at each such parameter level. I like to rank order probability change in each class (0, 1 and 2) du...

  altug_bayram

  Discussions |

  Sep 5, 2024 9:02 AM

  805 views | 0 replies

• Building and validating zero-inflated negative binomial regression models

  Dear JMP community,I am presented with a problem of building a model using over-dispersed zero-inflated count data. I hope you can help me with this.I have attached both training and validation datasets to this post. My objective is to build my model on the training dataset and validate it using the validation dataset. I have not worked with such count data before and therefore do not know validat...

  stat_ranger

  Discussions |

  Sep 4, 2024 1:57 AM

  1038 views | 0 replies

• Hyperparameters and neural network architecture

  Hello,I'm trying to reproduce the results obtained on JMP with the "Neural" model by adding nested cross-validation, which is not possible on the software. However, the architecture is very unclear and I can't understand the calculations performed by the model. I don't have access to certain information such as batch size, optimizer used, loss, learning rate (except the one for the boosting), and ...

  Grizzly

  Discussions |

  Jul 2, 2024 5:42 AM

  645 views | 0 replies