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Latest Discussions

• Fit model with categorical variables (two of them 3 level and one 2 level)

  When I generate fit model with 3 categorical variables (two of them 3 level and one 2 level), it does not generate std error, t ratio and p values, can you please help why is it?

  gchaudhary

  Discussions |

  Apr 22, 2021 9:47 PM

  1015 views | 1 replies

• D-optimal or I-optimal design for minimal prediction variance at the limits of the factors of interest

  In the JMP technical details it says that D-optimality focuses on precise estimates of the effects whereas I-optimal designs minimize the average variance of prediction over the design space. Let's assume that I have two factors X1 and X2, vary each of them for example by +/-20% and want to have a precise prediction of my response exactly at the limits of my factor variation, i.e., at -20% and +20...

  Tina

  Discussions |

  Apr 21, 2021 8:44 AM

  11880 views | 3 replies

• help:multiple regression

  hi, does anyone know how to compare two multiple regression?i have two years data, so each year I will make a multiple regression using the same independent and dependent variable just different 2 years. how I can compare these two 

  tang1111

  Discussions |

  Apr 16, 2021 3:33 PM

  1973 views | 3 replies

• DOE for a single component with different sources & levels

  I am trying to optimize the maltodextrin component of a formulation. There are 3 different maltodextrins I would like to assess (different suppliers - categorical), and I would like to run each at 3 concentrations/levels. It doesn't make sense to put the 3 different maltodextrin options as different factors, because they will never be used together - the idea is to choose the best one. I could do ...

  thaumi

  Discussions |

  Apr 15, 2021 9:38 AM

  2951 views | 6 replies

• How to analyse factorial design with an outcome having two types of variance?

  Hello I have a dataset from a 2-level factorial design with 2 factors.The dataset contains purchase amount per each user.Each row is a unique user. Purchase with 0 value means user didn't purchase. A and B are treatments.  I want to calculate the effect of treatments A and B on  average purchase per user (sum of purchase in USD divided by number of users). However, I assume we need to account for ...

  gustavjung

  Discussions |

  Apr 9, 2021 12:06 PM

  1904 views | 2 replies