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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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Scientific Reasoning: The Bayesian Approach
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Open Court (edition Third), 2006
ISBN 10: 081269578X
ISBN 13: 9780812695786
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Scientific Reasoning: The Bayesian Approach
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Scientific Reasoning: The Bayesian Approach
Published by
Open Court (edition Third), 2006
ISBN 10: 081269578X
ISBN 13: 9780812695786
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Scientific Reasoning : the Bayesian Approach
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Scientific Reasoning: The Bayesian Approach
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Scientific Reasoning: The Bayesian Approach
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Scientific Reasoning: The Bayesian Approach (Paperback or Softback)
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Open Court Publishing Company 12/1/2005, 2005
ISBN 10: 081269578X
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Scientific Reasoning: The Bayesian Approach
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Scientific Reasoning
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ISBN 10: 081269578X
ISBN 13: 9780812695786
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Paperback. Condition: New. Third Edition. 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". Seller Inventory # LU-9780812695786
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