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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… Click to show full 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 unittreatment 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.
Keywords:
randomized factorial;
inference randomized;
factorial experiments
Journal Title: Statistical Science
Year Published: 2017
Link to full text (if available)
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Journal Title: Statistical Science
Year Published: 2017
Link to full text (if available)
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recommendations!