STAT6280

1. Write the full linear or non-linear probability and statistical model which defines an experiment.
2. Derive the estimating equations for the written models
3. Understand and define design optimality objectives
4. Generate candidate optimal designs for the model/objective via several algorithms.
5. Analyze post-hoc competing candidate designs from several perspectives and learn how to select from the candidates the design which best suits the practitioners needs.