Fletcher, Samuel C. and Mayo-Wilson, Conor (2019) Evidence in Classical Statistics. [Preprint]
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Abstract
The dominance of classical statistics raises a puzzle for epistemologists. On one hand, science is a paradigmatic source of good evidence, with quantitative experimental science often described in classical statistical terms. On the other, the hybrid of Fisherian and Neyman-Pearsonian techniques is generally rejected by philosophers, statisticians, and scientists who study the foundations of statistics. So why is the use of classical statistics in empirical science so epistemically successful? Do classical “measures” of
evidence actually measure anything epistemically important? This chapter provides some positive answers to these questions.
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Item Type: | Preprint | |||||||||
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Additional Information: | Written for Routledge Handbook of Evidence, Maria Lasonen-Aarnio and Clayton Littlejohn, eds. | |||||||||
Keywords: | classical statistics, testing, evidence, reliabilism | |||||||||
Subjects: | General Issues > Evidence Specific Sciences > Probability/Statistics |
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Depositing User: | Prof. Samuel C. Fletcher | |||||||||
Date Deposited: | 07 Jul 2019 14:27 | |||||||||
Last Modified: | 07 Jul 2019 14:27 | |||||||||
Item ID: | 16191 | |||||||||
Subjects: | General Issues > Evidence Specific Sciences > Probability/Statistics |
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Date: | 22 May 2019 | |||||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/16191 |
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