Neyman-Pearson Hypothesis Testing, Epistemic Reliability and Pragmatic Value-Laden Asymmetric Error Risks

dc.contributor.authorKubiak, Adam Paweł
dc.contributor.authorKawalec, Paweł
dc.contributor.authorKiersztyn, Adam
dc.date.accessioned2021-06-23T06:45:29Z
dc.date.available2021-06-23T06:45:29Z
dc.date.issued2021-03-18
dc.description.abstractWe show that if among the tested hypotheses the number of true hypotheses is not equal to the number of false hypotheses, then Neyman-Pearson theory of testing hypotheses does not warrant minimal epistemic reliability (the feature of driving to true conclusions more often than to false ones). We also argue that N-P does not protect from the possible negative effects of the pragmatic value-laden unequal setting of error probabilities on N-P’s epistemic reliability. Most importantly, we argue that in the case of a negative impact no methodological adjustment is available to neutralize it, so in such cases the discussed pragmatic-value-ladenness of N-P inevitably compromises the goal of attaining truth.pl
dc.identifier.citationAxiomathes, 2021, January.pl
dc.identifier.doihttps://doi.org/10.1007/s10516-021-09541-y
dc.identifier.urihttp://hdl.handle.net/20.500.12153/1763
dc.language.isoenpl
dc.publisherSpringerpl
dc.rightsAttribution 4.0 International (CC-BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectPragmatic valuespl
dc.subjectContextpl
dc.subjectReliabilitypl
dc.subjectStatistical testpl
dc.subjectPredictive valuepl
dc.subjectFrequentismpl
dc.titleNeyman-Pearson Hypothesis Testing, Epistemic Reliability and Pragmatic Value-Laden Asymmetric Error Riskspl
dc.typeinfo:eu-repo/semantics/articlepl
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