The conditionality principle is a Fisherian principle of statistical inference that Allan Birnbaum formally defined and studied in an article in the Journal of the American Statistical Association, Birnbaum (1962).
Informally, the conditionality principle can be taken as the claim that
Experiments which were not actually performed are not relevant to any statistical analysis
and the implicit admonition that unrealized experiments should be ignored: Not included as part of any calculation or discussion of results.
Together with the sufficiency principle, Birnbaum's version of the principle implies the famous likelihood principle. Although the relevance of the proof to data analysis remains controversial among statisticians, many Bayesians and likelihoodists consider the likelihood principle foundational for statistical inference.
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had rejected one of these premises (the conditionalityprinciple) and had also abandoned the likelihood principle due to their incompatibility with the...
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implements the resolution. Conditionality bad can be argued by the affirmative team. If the affirmative wins conditionality is illegitimate it will usually...
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