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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© 1996 Springer Science+Business Media New York
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Christensen, R. (1996). Experimental Design Models. In: Plane Answers to Complex Questions. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2477-6_8
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DOI: https://doi.org/10.1007/978-1-4757-2477-6_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-2479-0
Online ISBN: 978-1-4757-2477-6
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