Abstract
In practice, for most designed experiments it can be assumed that the response Y is not only dependent on a single variable but on a whole group of prognostic factors. If these variables are continuous, their influence on the response is taken into account by so–called factor levels. These are ranges (e.g., low, medium, high) that classify the continuous variables as ordinal variables. In Sections 1.7 and 1.8, we have already cited examples for designed experiments where the dependence of a response on two factors was to be examined.
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© 2009 Springer Science+Business Media, LLC
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Toutenburg, H., Shalabh (2009). Multifactor Experiments. In: Statistical Analysis of Designed Experiments, Third Edition. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1148-3_7
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DOI: https://doi.org/10.1007/978-1-4419-1148-3_7
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Online ISBN: 978-1-4419-1148-3
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