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Completely Randomized Designs

Part of the Springer Texts in Statistics book series (STS)

A theoretical consequence of the fact that all factors in a CRD must be fixed factors is that we can study the theory for all CRD simply by looking at the oneway CRD. This follows because of the simple error structure of the CRD, and the fact that any effect can be built up through contrasts. However, this fact is only useful as a theoretical tool, say when we are trying to develop some distributional properties, as the data layout and the treatment structure always play an important practical role. But the oneway CRD is the place to start.

Most importantly, the randomization structure of the CRD implies that there is only one error term, the within error, and all effects are tested against it.

Keywords

Quantitative Trait Locus Anova Table Completely Randomize Design Data Layout Noncentrality Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

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