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Jerzy Neyman’s Conception of Scientific Inference and Its Relation to Bayesianism
(2019-02-06) Kubiak, Adam Paweł
The main thesis of the dissertation was that Neyman’s frequentist statistical paradigm is not a worse tool for conducting scientific research than the Bayesian paradigm. We found the statement to be justified by the following results demonstrated by us: (1) various types of knowledge, pre-existing the research, regarding the examined aspect of reality as well as the socio-economic aspects that accompany the research, are used by Neyman in an unambiguous, correct way that increases the epistemic reliability of his method, (2) Neyman's testing method is always epistemically reliable and, appropriately used, can be epistemically reliable at the desired level, (3) the influence of non-cognitive values directly introduced to the inferential patterns of Neyman's methods of estimation and testing is a favorable solution due to the increase in the epistemic reliability of the method, (4) decision-theoretic interpretation for a single result in Neyman’s statistical scheme does not have to be considered a disadvantage of the method as a tool for conducting scientific research.