Description: Fundamentals, completely randomized design; randomized complete blocks; latin square; multi-classification; factorial; nested factorial; incomplete block ...
This paper considers n × m completely randomized factorial experiments in which one treatment combination, labelled 00, is excluded. The aim of the experiments is to compare the effects of having both ...
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