Choosing Between Several Designed Experiments Based on Multiple Design Performance Criteria
Christine Anderson-Cook, PhD, Scientist – Los Alamos National Laboratory
When selecting a best design for an experiment, it is beneficial to consider what the specific objectives of the experiment are and to use matching criteria to quantify differences between the potential design choices. JMP provides multiple options for creating designs to be compared and a rich set of design summaries that allow an experimenter to understand the trade-offs between candidate designs to make a judicious choice appropriate for that experiment. The talk demonstrates the process of constructing and evaluating designs for a specific screening design example and shows how this process could be generalized to other settings.