Scientific Reasoning

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A01=Colin Howson
A01=Peter Urbach
Author_Colin Howson
Author_Peter Urbach
Category=PDA
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science

Product details

  • ISBN 9780812695786
  • Weight: 481g
  • Dimensions: 152 x 228mm
  • Publication Date: 30 Mar 2006
  • Publisher: Open Court Publishing Co ,U.S.
  • Publication City/Country: US
  • Product Form: Paperback
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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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