Good Thinking: The Foundations of Probability and Its Applications

This in-depth treatment of probability theory by a famous British statistician explores Keynesian principles and surveys such topics as Bayesian rationality, corroboration, hypothesis testing, and mathematical tools for induction and simplicity. Additional subjects include causality and explanation, causal calculus, and an extensive contrast of probability and statistics. 1983 edition.