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Experimental Design Models

  • Ronald Christensen
Chapter
Part of the Springer Texts in Statistics book series (STS)

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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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Mathematics and Statistics MSC01 11151 University of New MexicoAlbuquerqueUSA

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