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Hypotheses Testing as a Fuzzy Set Estimation Problem

2013
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Communications in Statistics - Theory and Methods
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For many scientific experiments computing a p-value is the standard method for reporting the outcome. It is a simple way of summarizing the information in the data. One theoretical justification for p-values is the Neyman-Pearson theory of hypotheses testing. However the decision making focus of this theory does not correspond well with the desire, in most scientific experiments, for a simple and easily interpretable summary of the data. Fuzzy set theory with its notion of a membership function

doi:10.1080/03610926.2011.599005
fatcat:izxbs6kbibec7n2tnqy7uzpohi