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Latest Discussions

• Definitive Screening Design for optimization

  Hi Community members,I searched about definitive screening design and read a lot about this topic in JMP.I have learned that Definitive Screening design is used to determine effective main, second order power and 2 factor interactions in the model.  I have 10 parameters and my mail goal is to make optimization. At the fist step using RSM or custom design with model including main effects+second or...

  Ella

  Discussions |

  Jan 14, 2021 9:42 AM

  4583 views | 9 replies

• Mixture with two factors - enough runs?

  Hello guys,Im new in JMP and want to do a DOE for a school project. So I want to do a DOE for a mixture with two different compounds, so I have two factors. I did set the mixture ratio of X1 from 0.7 - 1 and X2 0 - 0.3 (X1 should have 100% as a reference).But now I have for my experiment only two different mixtures. Will this be enough or is it possible to increase the number of different mixtures...

  CloutGott

  Discussions |

  Jan 6, 2021 6:10 AM

  1684 views | 2 replies

• Definitive Screen Design (DSD) Model confirmation

  Hi all, I designed a DSD with the following info:- Design: 7 continuous and 1 categorical factors, 22 run- Design Evaluation on power and correlation: very good- Fit model via Fit Definitive Screening: excellentRMSE = 0.2803, RSq =0.997, PValue<0.001)Lack of Fit: no (F Ration 191, Prob > F = 0.0561)Residual and Studentized Residuals are all good- Model structure: Contains 5 main, 4 quadratic and 1...

  ZenCar

  Discussions |

  Dec 24, 2020 12:54 PM

  5905 views | 12 replies

• When there is no interaction, can I use multiple comparison such as LSD or Tukey test?

  I have three factors - Genotype (5 levels), Nitrogen (2 levels), and manipulation (2 levels). I'm interested in the combination of three factors. I'd like to check how average grain weight responds to defoliation under the different nitrogen conditions. When I analyze it as the full factorial, there was no interaction among genotype x nitrogen x manipulation.  However, I want to indicate the diffe...

  JK

  Discussions |

  Dec 22, 2020 9:25 AM

  1968 views | 1 replies

• Why does the Default DoE Custom Design have so little sampling of middle levels?

  When doing a Custom Design, sometimes middle levels (other than the highest and lowest) are specified, so it is more than 2 levels. However, Custom Design Default design tends to suppress sampling of these middle levels, putting most weight on the highest and lowest of each parameter. How is this determined? Can we specify to add more in the middle?

  FredChen

  Discussions |

  Dec 19, 2020 7:46 AM

  1778 views | 2 replies