David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Synthese 90 (2):233 - 262 (1992)
I document some of the main evidence showing that E. S. Pearson rejected the key features of the behavioral-decision philosophy that became associated with the Neyman-Pearson Theory of statistics (NPT). I argue that NPT principles arose not out of behavioral aims, where the concern is solely with behaving correctly sufficiently often in some long run, but out of the epistemological aim of learning about causes of experimental results (e.g., distinguishing genuine from spurious effects). The view Pearson did hold gives a deeper understanding of NPT tests than their typical formulation as accept-reject routines, against which criticisms of NPT are really directed. The Pearsonian view that emerges suggests how NPT tests may avoid these criticisms while still retaining what is central to these methods: the control of error probabilities.
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References found in this work BETA
Isaac Levi (1980). The Enterprise of Knowledge: An Essay on Knowledge, Credal Probability, and Chance. The MIT Press.
Ian Hacking (1976). Logic of Statistical Inference. Cambridge University Press.
A. W. F. Edwards (1972). Likelihood. Cambridge [Eng.]University Press.
Citations of this work BETA
Greg Gandenberger (2015). A New Proof of the Likelihood Principle. British Journal for the Philosophy of Science 66 (3):475-503.
Kent Staley (2012). Strategies for Securing Evidence Through Model Criticism. European Journal for Philosophy of Science 2 (1):21-43.
Philip Mirowski (1994). A Visible Hand in the Marketplace of Ideas: Precision Measurement as Arbitage. Science in Context 7 (3).
Philip Mirowski (1995). Civilization and Its Discounts. Dialogue 34 (03):541-.
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