David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Cambridge [Eng.]University Press (1972)
Dr Edwards' stimulating and provocative book advances the thesis that the appropriate axiomatic basis for inductive inference is not that of probability, with its addition axiom, but rather likelihood - the concept introduced by Fisher as a measure of relative support amongst different hypotheses. Starting from the simplest considerations and assuming no more than a modest acquaintance with probability theory, the author sets out to reconstruct nothing less than a consistent theory of statistical inference in science.
|Keywords||Science Statistical methods Probabilities Mathematical statistics|
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Citations of this work BETA
Elliott Sober (2009). Absence of Evidence and Evidence of Absence: Evidential Transitivity in Connection with Fossils, Fishing, Fine-Tuning, and Firing Squads. [REVIEW] Philosophical Studies 143 (1):63 - 90.
Allan Birnbaum (1977). The Neyman-Pearson Theory as Decision Theory, and as Inference Theory; with a Criticism of the Lindley-Savage Argument for Bayesian Theory. Synthese 36 (1):19 - 49.
Daniel Steel (2007). Bayesian Confirmation Theory and the Likelihood Principle. Synthese 156 (1):53 - 77.
Elliott Sober (2011). Reichenbach's Cubical Universe and the Problem of the External World. Synthese 181 (1):3 - 21.
J. Brian Pitts (2013). Irrelevant Conjunction and the Ratio Measure or Historical Skepticism. Synthese 190 (12):2117-2139.
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