Abstract
The design of an experiment is extremely important. It identifies the class of linear models that can be used to analyze the results of the experiment. Perhaps more accurately, the design identifies large classes of models that are inappropriate for the analysis of the experiment. Finding appropriate models can be difficult even in well-designed experiments.
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© 2011 Springer Science+Business Media, LLC
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Christensen, R. (2011). Experimental Design Models. In: Plane Answers to Complex Questions. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9816-3_8
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DOI: https://doi.org/10.1007/978-1-4419-9816-3_8
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Online ISBN: 978-1-4419-9816-3
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