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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag New York
About this chapter
Cite this chapter
Mee, R.W. (2009). Introduction to Full Factorial Designs with Two-Level Factors. In: A Comprehensive Guide to Factorial Two-Level Experimentation. Springer, New York, NY. https://doi.org/10.1007/b105081_1
Download citation
DOI: https://doi.org/10.1007/b105081_1
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-89102-6
Online ISBN: 978-0-387-89103-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)