ENBIS: European Network for Business and Industrial Statistics

Practical Aspects of Algorithmic Design of Physical Experiments

22 September 2009, 16:15 – 16:35

Abstract

Submitted by

Pat Whitcomb

Authors

Pat Whitcomb Wayne Adams

Affiliation

Stat-Ease, Inc.

Abstract

Due to operational or physical considerations, standard response surface method (RSM) or mixture designs often prove to be unsuitable for actual experimentation. In such cases an algorithmic design is required. We will explore various mathematical properties useful for evaluating alternative algorithmic designs. To assess “goodness of design” such evaluations must consider the model choice, specific optimality criteria (e.g. D, IV, etc), precision of estimation (fraction of design space), the number of runs (required precision), testing for lack of fit, the choice of metric (mixture design), and so forth. All these issues will be considered at practical level – keeping the actual experimenters in mind. This brings to the forefront such considerations as subject matter knowledge (first principles), factor choice and the feasibility of the experiment design.

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