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Scientific Reasoning - The Bayesian Approach (Paperback, Third Edition)
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Scientific Reasoning - The Bayesian Approach (Paperback, Third Edition)
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This user-friendly, comprehensive course in probability and
statistics as applied to physical and social science explains the
probability calculus, distributions and densities, and the rivals
of Beyesianism - the classical, logical, and subjective theories.
Howson and Urbach clearly lay out the theory of classical
inference, the Neyman-Pearson theory of significance tests, the
classical theory of estimation, and regression analysis. The work
is controversial, but gives a fair and accurate account of the
anti-Bayesian views it criticizes. The authors examined the way
scientists actually appeal to probability arguments, and explain
the 'classical' approach to statistical inference, which they
demonstrate to be full of flaws. They then present the Bayesian
method, showing that it avoids the difficulties of the classical
system. Finally, they reply to all the major criticisms levelled
against the Bayesian method, especially the charge that it is "too
subjective".
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