Did Pearson reject the Neyman-Pearson philosophy of statistics?

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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DOI 10.1007/BF00485352
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References found in this work BETA
A. W. F. Edwards (1972). Likelihood. Cambridge University Press.
Deborah G. Mayo (1991). Novel Evidence and Severe Tests. Philosophy of Science 58 (4):523-552.

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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.

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