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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

  • Learning materials for DOE ?

    I am a statistician and must train myself in DOE for my new role. Since I have no prior knowledge or experience in DOE, I am looking for training materials (books, courses, etc.) to help me quickly fill the gap.Below are my main goals:Know how to choose the most optimal plan given the situationKnow how to ask efficient questions to stakeholders to refine the planAnalyze the resultsKnow how to appl...

    stat_mr_h stat_mr_h
    Discussions |
    Jun 9, 2024 11:15 PM
    2774 views | 4 replies
  • Design of experiment for 2 continuous factors and 1 discrete numerical factor

    Hi JMP experts I struggled to decide which DOE to use for my experiment. I have 2 continuous factors and 1 discrete numerical factor (3 levels). The goal is to optimize the combination of these factors to achieve maximum Y responses (I have 2 Y responses).What would be the best DOE to use?I would appreciate your help!Thanks!

    stat_mr_h stat_mr_h
    Discussions |
    Jun 9, 2024 9:44 PM
    1902 views | 3 replies
  • Fitting a Sharp Region

    My data can be usually matched with an exponential decay function, however at some point on the curve where there is a rapid spike, then decay continues, therefore how can this sharp edge be fitted inside the exponential function?

    Sherif_96 Sherif_96
    Discussions |
    Jun 8, 2024 3:12 PM
    4436 views | 9 replies
  • Robustness design

    A DoE workflow calls for prescreening, screening, optimisation then a robustness design.  The robustness design would inform around a control space within a broader design space mapped out by the optimisation design.  In JMP, is there (and if so where) a procedure for running robustness designs starting from an initial data set used for optimisation?  

    kjwx109prime kjwx109prime
    Discussions |
    Jun 6, 2024 9:34 AM
    4168 views | 6 replies
  • Simulate results for a table of statistics in a report

    Hello everyone, so I have been testing around with the simulation feature in JMP, which you can use to simulate statistics from reports where you have a random component (Overview of the Simulate Feature (jmp.com)). To the best of my knowledge, you can only simulate one column at a time. Is it possible to perform the simulation for the whole output table instead of having to simulate each column o...

    PoissonGopher92 PoissonGopher92
    Discussions |
    Jun 5, 2024 4:47 AM
    1247 views | 1 replies

Latest Discussions

  • Robustness design

    A DoE workflow calls for prescreening, screening, optimisation then a robustness design.  The robustness design would inform around a control space within a broader design space mapped out by the optimisation design.  In JMP, is there (and if so where) a procedure for running robustness designs starting from an initial data set used for optimisation?  

    kjwx109prime kjwx109prime
    Discussions |
    Jun 6, 2024 9:34 AM
    4168 views | 6 replies
  • Simulate results for a table of statistics in a report

    Hello everyone, so I have been testing around with the simulation feature in JMP, which you can use to simulate statistics from reports where you have a random component (Overview of the Simulate Feature (jmp.com)). To the best of my knowledge, you can only simulate one column at a time. Is it possible to perform the simulation for the whole output table instead of having to simulate each column o...

    PoissonGopher92 PoissonGopher92
    Discussions |
    Jun 5, 2024 4:47 AM
    1247 views | 1 replies
  • How to obtain the optimum formulation

    I have a new material made of different oxides. All of them have a fixed proportion, with only two oxides changing in a reverse manner, so their final proportion is fixed. Finally, I have six samples. I have used online software to study a specific response; hence, I finally have an energy column with 25 different values, with each one having its own unique response value for the specific composit...

    Sherif_96 Sherif_96
    Discussions |
    Jun 4, 2024 11:34 AM
    3047 views | 4 replies
  • DOE for serum cell assay optimization

    Hello I am trying to optimise a cell based assay (process to culture T-cells) to work out combinations of factors (continuous i.e seeding density or process durarion) and levels optimal to lead to highest impact on my list of effects between my two categorical factors ( Serum A and Serum B)

    Which DOE and analysis would you recommend?

    I can opt for having as little as 2-3 factors and as high as 8-9 f...

    DRC92 DRC92
    Discussions |
    Jun 3, 2024 7:18 AM
    1205 views | 2 replies
  • How to analyze whether my DOE model is significant or not?

    I ran CCD with 2 center points. I have only two factors and one response. The summary results and analysis of variance show a very low r-square value, and the p-value is also higher than 0.05. Is my model correct or incorrect? If incorrect, then what can I do to make it work?

    rashi1 rashi1
    Discussions |
    Jun 3, 2024 7:10 AM
    1634 views | 1 replies

Latest Discussions

  • Creating DOE (and fitting) for non-linear response

    Hello, I am still new to JMP but I'm trying to determine the best way to model a non-linear system (generating DOE + model fitting). Context: Long story short, I have a large experimental space that I am trying to model (10 discrete variables + 10 continuous variables). Before I jump into my full experiment I'm working with a subset (1 discrete variable + 5 continuous variables) to make sure I'm m...

    EndogenousCame1 EndogenousCame1
    Discussions |
    May 20, 2024 1:19 PM
    1049 views | 0 replies
  • Robust vs. Non Robust Response Screening/ Categorical Outliers

    Hello! I appreciate your help in advance!  I am currently trying to figure out the proper way to analyze my data!  I had used the DOE feature of JMP to create this fraction factorial of 24 runs for m experiment. The goal is two screen which categories have the most effect on the success rate. I had initially use the response screening option to analyze my results, when I did that none of my values...

    MedianPuppy4982 MedianPuppy4982
    Discussions |
    May 14, 2024 7:56 AM
    917 views | 0 replies
  • Process development with multiple factors

    Hi everyone, I'm currently engaged in a process development project with the goal of 1) minimizing the total process time while 2) maintaining or enhancing the yield. This objective is similar to viral vector production case, where maximizing virus yield in the shortest production time is crucial. After consulting with subject matter experts, we've pinpointed 10 factors for potential modification....

    BJK_JerseyBoy BJK_JerseyBoy
    Discussions |
    Apr 9, 2024 2:47 PM
    796 views | 0 replies
  • Do 3rd order effects help define curvature?

    If you have are making a design with a factor you are certain will have a quadratic relationship against a response but you have a wide range, can it be helpful to define a 3rd order model effect for that factor to better identify and model curvature. I work in purification and we often deal with a recovery vs. purity balance. This relationship is usually quadratic around the optimal, where at a l...

    MetaLizard62080 MetaLizard62080
    Discussions |
    Mar 4, 2024 8:21 PM
    1001 views | 0 replies
  • Neural networks that learn and predict in real time (incremental learning)

    Hello community!!A query:- How JMP is configured to generate neural networks that learn from their inputs in real time (incremental learning) in such a way that it continually updates its weights according to new inputs and generates updated real-time predictions.Greetings,Marco

    Marco2024 Marco2024
    Discussions |
    Mar 4, 2024 9:37 AM
    850 views | 0 replies
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