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Contents
20 other sections not shown Common terms and phrasesaccepted adopt alternative hypotheses approximately argument assumption axiom of independent axioms of probability betting quotient Braithwaite's calculate concept consider corroborated critical region deduce defined definition degree of belief empirical collectives Euclidean geometry example experience experimental explain fact falsifying rule Finetti finite formulation frequency theory gambling systems give given hypothesis H independent repetitions infinite introduce intuitive involved Kepler's Keynes Kolmogorov Kolmogorov axioms large number law of large limiting frequency logical Mach's mass meaning measure method Mises Newton's theory Newtonian Newtonian mechanics Neyman-Pearson theory normal distribution notion objection observed obtain outcomes parameter particular Popper postulate precise prediction principle principle of indifference probability space probability statements probability theory problem random sequences random variable rejection relative frequency repeatable conditions sample sequence of repetitions set of alternatives set of conditions singular probabilities space statistical hypothesis subset Suppose theorem theory of probability tion tosses z-test References to this bookFrom Google ScholarSevere Testing as a Basic Concept in a Neyman-Pearson Philosophy ...Deborah G Mayo, Aris Spanos - 2006 - The British Journal for the Philosophy of Science Varieties of PropensityDonald Gillies - The British Journal for the Philosophy of Science Theories of ProbabilityColin Howson - The British Journal for the Philosophy of Science Explaining statistical mechanicsJP Dougherty - 1993 - Studies in History and Philosophy of Science References from web pagesJSTOR: An Objective Theory of Probability. REVIEW Donald Gillies, An Objective Theory of Probability, London ... REFERENCES JIA 103 (1976) 59-112 Bibliographic information
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