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Latest Discussions

  • DOE

    Hallo,I have three  factors. for each one i have 3 Levels .I want to make a Design with only 9 runs .Can you please tell me how to do this.Thank you in advance.

    Sam_199111 Sam_199111
    Discussions |
    Mar 8, 2023 5:13 AM
    1370 views | 2 replies
  • Fit Definitive Screening vs. Stepwise (min. AICC) for model selection

    I am trying to fit a model to a 17-run DSD with 4 factors. I am evaluating two methods of doing so: the 'Fit Definitive Screening' platform that is recommended by JMP documentation, as well as the older forward selection method with minimum AICC as the criterion. Based on domain knowledge, I would have expected a quadratic effect for factor B which looks like a plateau, with the low level being si...

    QW QW
    Discussions |
    Mar 7, 2023 7:09 AM
    2166 views | 2 replies
  • Calculation a p-value in a data table (regression) using row formulae

    Background: Suppose I have rows of x, y data (SN_C, Value [Sigma Units]) as shown in attached file but also pasted below.   Slope_8 is calculated from the previous 8 [x.y] values. I want to compare the slope_8 value to the null hypothesis for linear regression (slope =0) and provide a p-value. Is there an easy way to do this? The formula for the slope 8 was taken from these discussion boards (@txn...

    fat_angus fat_angus
    Discussions |
    Mar 3, 2023 5:11 AM
    1795 views | 2 replies
  • DOE for Nested Factors

    Hello!  I'm designing an experiment with 5 factors.  Factor X1 is Ingredient Type, a two-level categorical variable (Ingredient A or Ingredient B).  But we also want to investigate the concentration of both ingredients.  Ingredient A has a range of 5% to 20%, while Ingredient B has a range of 1% to 10%.  I can't include this as three independent factors.  I see two reasonable options:- Run two seq...

    chris_rigdon chris_rigdon
    Discussions |
    Mar 2, 2023 8:40 AM
    2154 views | 2 replies
  • Specifying axial value as rotatable in custom design

    Hello,

    I am trying to create a custom DOE in order to maximize the response yield of a target quantity as a function of two continuous factors and one 2nd level categorical factor. The interactions of these factors are of the third order, and I am specifying 2 center points. However, I also want to define axial values to set axial positions such that I get a rotatable surface, similar to that of a ...

    tokiwon tokiwon
    Discussions |
    Feb 24, 2023 9:44 AM
    1670 views | 3 replies

Latest Discussions

  • DOE

    Hallo,I have three  factors. for each one i have 3 Levels .I want to make a Design with only 9 runs .Can you please tell me how to do this.Thank you in advance.

    Sam_199111 Sam_199111
    Discussions |
    Mar 8, 2023 5:13 AM
    1370 views | 2 replies
  • Fit Definitive Screening vs. Stepwise (min. AICC) for model selection

    I am trying to fit a model to a 17-run DSD with 4 factors. I am evaluating two methods of doing so: the 'Fit Definitive Screening' platform that is recommended by JMP documentation, as well as the older forward selection method with minimum AICC as the criterion. Based on domain knowledge, I would have expected a quadratic effect for factor B which looks like a plateau, with the low level being si...

    QW QW
    Discussions |
    Mar 7, 2023 7:09 AM
    2166 views | 2 replies
  • DOE for Nested Factors

    Hello!  I'm designing an experiment with 5 factors.  Factor X1 is Ingredient Type, a two-level categorical variable (Ingredient A or Ingredient B).  But we also want to investigate the concentration of both ingredients.  Ingredient A has a range of 5% to 20%, while Ingredient B has a range of 1% to 10%.  I can't include this as three independent factors.  I see two reasonable options:- Run two seq...

    chris_rigdon chris_rigdon
    Discussions |
    Mar 2, 2023 8:40 AM
    2154 views | 2 replies
  • Problem with adding midpoints to my design (they are not randomly distributed)

    Dear Community,
    I have created a design with 12 factors, 11 of them are continuous and the last one is discrete numeric with three levels. I decided to add 30 midpoints (see attached screenshot of the experimental design). Why are the factors of the midpoints not randomly distributed?
    I tried the model with fewer factors, and the midpoints were randomly distributed as desired.
    I also tried increasin...

    ChristopherWeiß ChristopherWeiß
    Discussions |
    Feb 21, 2023 7:32 AM
    2138 views | 4 replies
  • Is there a template to have design tolerance stack-up from JMP 17 Pro?

    Is there a template to have design tolerance stack-up from JMP 17 Pro?

    AaronAn AaronAn
    Discussions |
    Feb 20, 2023 12:54 PM
    1135 views | 1 replies

Latest Discussions

  • Response Screening Effect Size - logistic

    Related to the previous post How to get "Effect size" column with Response Screening functionality , I am also wondering how effect size in the response screening platform is calculated, specifically for categorical Y vs continuous X.  JMP help shows:  "When Y is categorical and X is continuous, the effect size is the square root of the average ChiSquare value for the whole model test."  Running b...

    wgardnerQS wgardnerQS
    Discussions |
    Dec 14, 2022 12:54 PM
    1095 views | 0 replies
  • DoE with two-choice experiments, continuous response variable

    We want to rank the preference  of population of animals for n different recipes. Recipes are tested in two-choice assays, where groups of over 100 individuals can choose one choice or the other. Preference for the group is computed as a preference index, a continuous variable that is between -1 and 1. Is there an experimental design that would help reduce the number of combinations to test in ord...

    Alexa_Guigue Alexa_Guigue
    Discussions |
    Nov 19, 2021 7:06 AM
    865 views | 0 replies
  • 请问JMP有哪些模型可以用于预测股票价格的未来走势?

    这是个异想天开的问题: 大家都说股票价格的未来走势预测是艺术、不是科学。
    但我还是想看看JMP具体哪里模型能用于这方面。  我尝试过使用决策树、随机森林、xgboost。
    还使用了DOE制作了均匀试验表来进行分类统计。
    虽然这不是一个很好的问题、但还是非常期待专家们的回答。非常感谢!

    lala lala
    Discussions |
    Aug 2, 2021 1:01 AM
    837 views | 0 replies
  • Sub-sampling data analysis in JMP

    In Biology (Plant Sci. and Agriculture) usually we have sub-sampling data for replicates. It's very difficult to analyze these data in commonly use Stat S/W (SPSS/Minitab) because MSS(Error) is calculating wrongly.  Without taking averages of samsamples, the easiest S/W for this is using JMP and I need some assistance for this. I've found very useful Youtube video about subsampling in JMP  (CRD: S...

    Kynda Kynda
    Discussions |
    Nov 15, 2017 2:32 PM
    3921 views | 0 replies
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