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Fractional Factorial Designs

In: Empirical Modeling and Data Analysis for Engineers and Applied Scientists

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  • Scott A. Pardo

    (Ascensia Diabetes Care)

Abstract

In the two-level experiment with k input factors, there are 2 k possible runs. For k = 3, there are only eight runs. But even with five factors, 25 = 32 runs may be prohibitively expensive and time consuming. The question is whether it is possible to use some subset of all possible runs and still be able to fit a first order polynomial approximation to the response function. The answer is yes, but you must give up some resolution in your approximation. The amount of resolution lost is generally in terms of which interaction effects which can be included in your model.

Suggested Citation

  • Scott A. Pardo, 2016. "Fractional Factorial Designs," Springer Books, in: Empirical Modeling and Data Analysis for Engineers and Applied Scientists, chapter 0, pages 59-93, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-32768-6_6
    DOI: 10.1007/978-3-319-32768-6_6
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