Neyman-Pearson Hypothesis Testing, Epistemic Reliability and Pragmatic Value-Laden Asymmetric Error Risks
dc.contributor.author | Kubiak, Adam Paweł | |
dc.contributor.author | Kawalec, Paweł | |
dc.contributor.author | Kiersztyn, Adam | |
dc.date.accessioned | 2021-06-23T06:45:29Z | |
dc.date.available | 2021-06-23T06:45:29Z | |
dc.date.issued | 2021-03-18 | |
dc.description.abstract | We 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.citation | Axiomathes, 2021, January. | pl |
dc.identifier.doi | https://doi.org/10.1007/s10516-021-09541-y | |
dc.identifier.uri | http://hdl.handle.net/20.500.12153/1763 | |
dc.language.iso | en | pl |
dc.publisher | Springer | pl |
dc.rights | Attribution 4.0 International (CC-BY 4.0) | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Pragmatic values | pl |
dc.subject | Context | pl |
dc.subject | Reliability | pl |
dc.subject | Statistical test | pl |
dc.subject | Predictive value | pl |
dc.subject | Frequentism | pl |
dc.title | Neyman-Pearson Hypothesis Testing, Epistemic Reliability and Pragmatic Value-Laden Asymmetric Error Risks | pl |
dc.type | info:eu-repo/semantics/article | pl |
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