cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Try the Materials Informatics Toolkit, which is designed to easily handle SMILES data. This and other helpful add-ins are available in the JMP® Marketplace
Choose Language Hide Translation Bar
slemoult1
Level II

Best design for a DOE with 3 variables and one 4 level categorical

dear all

I am looking to find the best design with the following: 3 variables and 4 level categoricals. I have for now a custom design RSM with 28 sets. is there anything better?

Ideally I would like to reduce it to 15 sets.

Many Thanks in advance

Kind regards

Stephanie

 

10 REPLIES 10
statman
Super User

Re: Best design for a DOE with 3 variables and one 4 level categorical

Perhaps beyond the scope of your question, but the factors that affect design selection are:

  • Constraints: Time, money, measurement capability, etc. How many treatments can be made?
  • How many factors are to be manipulated (the number of hypotheses to be compared)?
  • How will noise be managed or partitioned?
  • Are some factors harder to change than others?  Are there other restrictions on randomization?
  • Are interactions (or other higher order effects) suspected/predicted?
    • What is the desired resolution? (What effects do you want to estimate/separate?)
"All models are wrong, some are useful" G.E.P. Box