Objective Theory of Probability (Routledge Revivals)

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A01=Donald Gillies
Author_Donald Gillies
Book III
Braithwaite's Theory
Category=PBB
Category=PBT
Category=QDTL
Critical Region
Deterministic Case
empirical
Empirical Collective
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
excluded
Excluded Gambling Systems
Falsifiable Distribution
Falsification Class
Frequency Theory
Galileo's Laws
gambling
Gambling Systems
Independent Repetitions
Kepler's Laws
law
Logical Relations
Mathematical Calculus
mises
Neglecting Air Resistance
neyman
Neyman Pearson Theory
pearson
Poisson Hypothesis
random
Relative Frequency
Repeatable Conditions
Singular Probabilities
Statistical Hypothesis
systems
Ump Test
von
Von Mises
Wrong Rejection

Product details

  • ISBN 9780415618656
  • Weight: 480g
  • Dimensions: 138 x 216mm
  • Publication Date: 02 Mar 2012
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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This reissue of D. A. Gillies highly influential work, first published in 1973, is a philosophical theory of probability which seeks to develop von Mises’ views on the subject. In agreement with von Mises, the author regards probability theory as a mathematical science like mechanics or electrodynamics, and probability as an objective, measurable concept like force, mass or charge. On the other hand, Dr Gillies rejects von Mises’ definition of probability in terms of limiting frequency and claims that probability should be taken as a primitive or undefined term in accordance with modern axiomatic approaches.

This of course raises the problem of how the abstract calculus of probability should be connected with the ‘actual world of experiments’. It is suggested that this link should be established, not by a definition of probability, but by an application of Popper’s concept of falsifiability. In addition to formulating his own interesting theory, Dr Gillies gives a detailed criticism of the generally accepted Neyman Pearson theory of testing, as well as of alternative philosophical approaches to probability theory. The reissue will be of interest both to philosophers with no previous knowledge of probability theory and to mathematicians interested in the foundations of probability theory and statistics.

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