Inference from randomized (factorial) experiments
Abstract
This is a contribution to the discussion of the interesting paper by Ding [Statist. Sci. 32 (2017) 331–345], which contrasts approaches attributed to Neyman and Fisher. I believe that Fisher’s usual assumption was unit-treatment additivity, rather than the “sharp null hypothesis” attributed to him. Fisher also developed the notion of interaction in factorial experiments. His explanation leads directly to the concept of marginality, which is essential for the interpretation of data from any factorial experiment.
Citation
Bailey , R A 2017 , ' Inference from randomized (factorial) experiments ' , Statistical Science , vol. 32 , no. 3 , pp. 352-355 . https://doi.org/10.1214/16-STS600
Publication
Statistical Science
Status
Peer reviewed
ISSN
0883-4237Type
Journal article
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