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Synopsis
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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- PublisherOpen Court
- Publication date2006
- ISBN 10 081269578X
- ISBN 13 9780812695786
- BindingPaperback
- LanguageEnglish
- Edition number3
- Number of pages470
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Scientific Reasoning
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Open Court Publishing Co ,U.S., 2006
ISBN 10: 081269578X
ISBN 13: 9780812695786
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Scientific Reasoning (Paperback)
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Open Court Publishing Co ,U.S., Chicago, IL, 2006
ISBN 10: 081269578X
ISBN 13: 9780812695786
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780812695786
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Scientific Reasoning
Published by
Open Court Publishing Co ,U.S., 2006
ISBN 10: 081269578X
ISBN 13: 9780812695786
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