Post-Fisherian Experimentation: From Physical to Virtual

C. F. Jeff Wu

Journal of the American Statistical Association, 2015, vol. 110, issue 510, 612-620

Abstract: Fisher's pioneering work in design of experiments has inspired further work with broader applications, especially in industrial experimentation. This article discusses three topics in physical experiments: principles of effect hierarchy, sparsity, and heredity for factorial designs, a new method called conditional main effect (CME) for de-aliasing aliased effects, and robust parameter design. I also review the recent emergence of virtual experiments on a computer. Some major challenges in computer experiments, which must go beyond Fisherian principles, are outlined.

Date: 2015
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DOI: 10.1080/01621459.2014.914441

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