Scientific Reasoning: The Bayesian Approach

About this book

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".