Introduction to Full Factorial Designs with Two-Level Factors

Robert W. Mee
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Robert W. Mee: University of Tennessee, Department of Statistics, Operations, and Management Science

Chapter 1 in A Comprehensive Guide to Factorial Two-Level Experimentation, 2009, pp 3-26 from Springer

Abstract: 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.

Keywords: Factorial Design; Treatment Combination; Full Factorial Design; Saturated Model; Pure Error (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-89103-3_1

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DOI: 10.1007/b105081_1

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