Design of Experiments Guide > Starting Out with DOE > Principles and Guidelines for Experimental Design
Publication date: 08/13/2020

Principles and Guidelines for Experimental Design

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. See Hamada and Wu (1992), Wu and Hamada (2009), and Goos and Jones (2011).

Effect Hierarchy

Effect Heredity

Effect Sparsity

Center Points, Replicate Runs, and Testing

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