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| 內容簡介： |
In this clearly reasoned defense of Bayes''s Theorem — that
probability can be used to reasonably justify scientific theories —
Colin Howson and Peter Urbach examine the way in which scientists
appeal to probability arguments, and demonstrate that the classical
approach to statistical inference is full of flaws. Arguing the
case for the Bayesian method with little more than basic algebra,
the authors show that it avoids the difficulties of the classical
system. The book also refutes the major criticisms leveled against
Bayesian logic, especially that it is too subjective. This newly
updated edition of this classic textbook is also suitable for
college courses.
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