Kubiak, Adam P. and Kawalec, Paweł (2021) Prior Information in Frequentist Study Designs: The Case of Neyman’s Sampling Theory. [Preprint]
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Abstract
We analyse the issue of using prior information in frequentist statistical inference. For that purpose, we scrutinise different kinds of sampling designs in Jerzy Neyman’s theory to reveal a variety of ways to explicitly and objectively engage with prior information. Further, we turn to the debate on sampling paradigms (design-based vs. model-based approach) to argue that Neyman’s theory provides an argument for the conciliatory approach in the frequentism vs. Bayesianism debate. We also demonstrate that while Neyman’s theory, by allowing non-epistemic values to influence evidence collection and formulation of statistical conclusions, does not compromise the epistemic reliability of the procedures and may improve it. This undermines the value-free ideal of scientific inference.
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Item Type: | Preprint | |||||||||
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Keywords: | frequentism, design-based approach, model-based approach, non-epistemic factors, sampling, Neyman, prior information, value-free ideal of science | |||||||||
Subjects: | General Issues > Data General Issues > Experimentation General Issues > History of Philosophy of Science Specific Sciences > Probability/Statistics General Issues > Values In Science |
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Depositing User: | Adam Kubiak | |||||||||
Date Deposited: | 10 Jun 2021 03:40 | |||||||||
Last Modified: | 10 Jun 2021 03:40 | |||||||||
Item ID: | 19161 | |||||||||
Subjects: | General Issues > Data General Issues > Experimentation General Issues > History of Philosophy of Science Specific Sciences > Probability/Statistics General Issues > Values In Science |
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Date: | 6 June 2021 | |||||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/19161 |
Available Versions of this Item
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Prior Information in Frequentist Research Designs and Social (Non-epistemic) Influences: The Case of Neyman’s Sampling Theory. (deposited 13 Mar 2021 00:03)
- Prior Information in Frequentist Study Designs: The Case of Neyman’s Sampling Theory. (deposited 10 Jun 2021 03:40) [Currently Displayed]
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