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  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
    Regular business hours will resume at 9:00 a.m. EST on Friday, Jan. 2, 2026.
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Learning Resources

Latest Discussions

  • Multicolliniarity issue in a Cox Proportional Hazard Model

    Hi Everybody,   I need help to understand and address the following issue.   I'm building a model to predict the development of cardiovascular disease in a cohort. I’ve included two variables that are correlated with each other (R² = 0.83). When I include both in the model, one of them flips direction—it becomes protective instead of a risk factor. But when I include each variable separately, both...

    RafaelZS RafaelZS
    Discussions |
    May 23, 2025 2:39 AM
    659 views | 1 replies
  • “Out of spec rate” calculation

    Dear JMP community, How is the “Out of spec rate” calculated in JMP (see image below)? The tool can be found in the evaluation of Ppk and Cpk values.   In JMP there are no formulas provided for the “Out of spec rate” calculation. Is this based on an assumed normal distribution and the spec limits?
     
    Thank you in advance.
    Best regards
    Maximilian

    MFellermann MFellermann
    Discussions |
    May 21, 2025 8:24 AM
    1435 views | 5 replies
  • Nonlinear fit using loss function with penalty

    HI All,  I need to do a nonlinear fit imposing a constraint equation to the parameters besides the range bounds. To do that, I am using the nonlinear platform defining the loss function with penalty. I wrote the model formula in a column where I defined the fitting parameters and in an other column I defined the loss function I am trying to use. Below I report   a description of the loss function:...

    LucaC LucaC
    Discussions |
    May 16, 2025 11:04 AM
    733 views | 2 replies
  • Sharing Parameters with constraints for 4PL analysis

    Hi,   l am trying to replicate someone else's 4 parameter logistic regression work done in GraphPad where they have the ability to share the upper and lower asymptote and can constrain the slope, can anyone provide some reading that l can follow so l can achieve the same in JMP??   Thanks, Mick.

    Mickyboy Mickyboy
    Discussions |
    May 8, 2025 6:52 PM
    2623 views | 9 replies
  • Problems with Reproducibility

    I teach using JMP and I became aware of some reproducibility problems in the following cases:   1) My students who use different operating systems like windows and MacOS get different results from models that require randomization like NN even if they use the same random seed like 123. This problem is frustrating because assignments that use a random seed for reproducibility reasons are supposed t...

    onurseref onurseref
    Discussions |
    Apr 27, 2025 6:45 PM
    1638 views | 5 replies

Latest Discussions

  • Multicolliniarity issue in a Cox Proportional Hazard Model

    Hi Everybody,   I need help to understand and address the following issue.   I'm building a model to predict the development of cardiovascular disease in a cohort. I’ve included two variables that are correlated with each other (R² = 0.83). When I include both in the model, one of them flips direction—it becomes protective instead of a risk factor. But when I include each variable separately, both...

    RafaelZS RafaelZS
    Discussions |
    May 23, 2025 2:39 AM
    659 views | 1 replies
  • Nonlinear fit using loss function with penalty

    HI All,  I need to do a nonlinear fit imposing a constraint equation to the parameters besides the range bounds. To do that, I am using the nonlinear platform defining the loss function with penalty. I wrote the model formula in a column where I defined the fitting parameters and in an other column I defined the loss function I am trying to use. Below I report   a description of the loss function:...

    LucaC LucaC
    Discussions |
    May 16, 2025 11:04 AM
    733 views | 2 replies
  • Conceptual question about validation

    I'm hoping that people with a better statistical background than I have can shed some light on this question.  JMP has robust validation capabilities for all predictive modeling, including cross validation (though not in the Fit Model platform, except for the capability of using a validation set).  Data scientists routinely partition their data into training and validation (and sometimes test) dat...

    dlehman1 dlehman1
    Discussions |
    Apr 23, 2025 10:28 AM
    2589 views | 11 replies
  • Bootstrap f2 study timepoints used

    Hello,   I have not been able to find if the bootstrap f2 test applies the more than 85% dissolution discarding rule or it only signals these values in yellow. Does anyone know?   Thank you

    V_Med V_Med
    Discussions |
    Apr 23, 2025 5:55 AM
    553 views | 1 replies
  • Python Code unable to generate output in JSL (JMP 17 Pro)

    Hello All,   I have a JSL script that creates a Datatable, and I have a python code block within the JSL script which I want to pass the DataTable to make predictions on the DataTable using a trained machine learning model. Before the python code block, the DataTable is accessible and even opens in JMP. However, after the python code block when I try to access the predictions made by the neural ne...

    dmanu221993 dmanu221993
    Discussions |
    Apr 7, 2025 8:31 AM
    1442 views | 6 replies

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 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 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 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 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 Grizzly
    Discussions |
    Jul 2, 2024 5:42 AM
    645 views | 0 replies
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