JMP^®: Modern Screening Designs

Learn how to assess the complexity of the situation in terms of the number of factors and the number and nature of terms in the model as a guide to selecting a method to design the screening experiment and analyze the empirical evidence.

You will be able to:

• Recognize situations that benefit from a screening experiment.
  
• Make a fractional factorial design or Plackett-Burman design.
• Make an orthogonal or near-orthogonal array or a definitive screening design.
• Make a Bayesian D-optimal design or split-plot design with custom design.
• Identify situations where each of the screening designs might be most useful.
• Identify likely effects in the response using the effect screening emphasis and tools in the Fit Least Squares platform or the Screening platform.
• Select a model using the Stepwise platform with forward selection or All Possible Models under the heredity restriction.

Need for Screening

• What is screening?
• Important principles in screening.
• Classic screening solutions.

Combinatorial Screening Designs

• Orthogonal or near-orthogonal screening designs.
• Definitive screening designs.
• Custom screening designs.

Model Selection in Screening

• Screening platform.
• Forward stepwise regression.
• All-subsets with heredity restrictions.
• Fit definitive screening platform.