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The Analysis of Split-Plot Experiments

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ENote 71eNote 7The Analysis of Split-Plot ExperimentseNote 7 INDHOLD2Indhold7 The Analysis of Split-Plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Split-Plot Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . : Tenderness of pork. . . . . . . . . . . . . . . . . . . . . . . . . . . Complicated Split-Plot Designs . . . . . . . . . . . . . . . . . . . . . . of oats. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . : Rancidness of steaks.

whole plots. The reason is that in this experimental design we have randomized the levels of A on the whole plots so that an experimental unit corresponding to A is a whole plot. Based on the additive split-plot model given by (7-2) a test for an effect of the whole plot factor A, that is the hypothesis H0: a(a 1) = = a(a k), is equivalent to ...

  Analysis, Split, Plot, The analysis of split plot

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