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Introduction to Full Factorial Designs with Two-Level Factors

In: A Comprehensive Guide to Factorial Two-Level Experimentation

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  • Robert W. Mee

    (University of Tennessee, Department of Statistics, Operations, and Management Science)

Abstract

Factorial experiments with two-level factors are used widely because they are easy to design, efficient to run, straightforward to analyze, and full of information. This chapter illustrates these benefits. The standard regression models for summarizing data from full factorial experiments are introduced, and an example is given to illustrate the interpretability and use of such models. Some statistical analysis is introduced here for the simplest case, although most analysis tools are deferred to the next chapter.

Suggested Citation

  • Robert W. Mee, 2009. "Introduction to Full Factorial Designs with Two-Level Factors," Springer Books, in: A Comprehensive Guide to Factorial Two-Level Experimentation, chapter 1, pages 3-26, Springer.
    • Handle: RePEc:spr:sprchp:978-0-387-89103-3_1
    DOI: 10.1007/b105081_1
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