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13 - Factorial structure and particular forms of effects

from Part III - Second subject

Published online by Cambridge University Press:  05 November 2012

R. Mead
Affiliation:
University of Reading
S. G. Gilmour
Affiliation:
University of Southampton
A. Mead
Affiliation:
University of Warwick
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Summary

Preliminary example

Suppose eight treatments comprising all combinations of three two-level factors P, Q and R are compared and the resulting treatment means are shown in Table 13.1. What is the best estimate of the difference between the two treatment combinations p1q1r1 and p1q1r0? Or, in practical terms, if you have decided to recommend the upper levels of factors P and Q, what is the benefit of using r1 rather than r0? If you think there is only one possible answer, then you have not yet fully grasped the benefits of factorial structure.With a little effort, you should be able to find at least six different conceivable answers.

Factors with two levels only

In Chapters 3 and 12, we started to examine the general advantages of using experimental treatments with a factorial structure. In this chapter, we look in more detail at special forms of factorial structure to examine how the general advantages manifest themselves in particular cases, and we develop methods for using further advantages of these special forms.

The first special form of factorial to consider is that in which all factors have two levels. There are many reasons why this is an interesting form to examine in detail. First, it is a sensible practical solution for many scientific situations. We can think of one level of each factor as being the normal mode and the other level as a new, alternative mode.

Type
Chapter
Information
Statistical Principles for the Design of Experiments
Applications to Real Experiments
, pp. 305 - 333
Publisher: Cambridge University Press
Print publication year: 2012

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