Multiple randomizations
C. J. Brien and
R. A. Bailey
Journal of the Royal Statistical Society Series B, 2006, vol. 68, issue 4, 571-609
Abstract:
Summary. Multitiered experiments are characterized by involving multiple randomizations, in a sense that we make explicit. We compare and contrast six types of multiple randomizations, using a wide range of examples, and discuss their use in designing experiments. We outline a system of describing the randomizations in terms of sets of objects, their associated tiers and the factor nesting, using randomization diagrams, which give a convenient and readily assimilated summary of an experiment's randomization. We also indicate how to formulate a randomization‐based mixed model for the analysis of data from such experiments.
Date: 2006
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https://doi.org/10.1111/j.1467-9868.2006.00557.x
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssb:v:68:y:2006:i:4:p:571-609
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