Designs with Three or More Factors: Latin-Square and Related Designs

Paul D. Berger, Robert E. Maurer and Giovana B. Celli
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Paul D. Berger: Bentley University
Robert E. Maurer: Boston University, Questrom School of Business
Giovana B. Celli: Cornell University

Chapter Chapter 8 in Experimental Design, 2018, pp 265-291 from Springer

Abstract: Abstract When more than two factors are under study, the number of possible treatment combinations grows exponentially. For example, with only three factors, each at five levels, there are 53 = 125 possible combinations. Although modeling such an experiment is straightforward, running it is another matter. It would be rare to actually carry out an experiment with 125 different treatment combinations, because the management needed and the money required would be great.

Keywords: ANOVA Analysis Of Variance (ANOVA); Graeco-Latin Square; Interior Factors; interactionInteraction Effects; Cobranding (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-64583-4_8

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