Certain principles underlie the design of experiments and the analysis of experimental data. The principles of effect hierarchy, effect heredity, and effect sparsity relate primarily to model selection. These principles help you reduce the set of possible models in searching for a best model. For details, see Hamada and Wu (1992), Wu and Hamada (2009), and Goos and Jones, (2011).
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Help created on 10/11/2018