This is an updated, revised and enlarged edition of Howson and Urbach's account of scientific method from the Bayesian standpoint. The book offers both an introduction to probability theory and a philosophical commentary on scientific inference. This new edition includes chapter exercises and extended material on topics such as regression analysis, distributions densities, randomisation and conditionalisation.
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This is an updated, revised and enlarged edition of Howson and Urbach's account of scientific method from the Bayesian standpoint. The book offers both an introduction to probability theory and a philosophical commentary on scientific inference. This new edition includes chapter exercises and extended material on topics such as regression analysis, distributions densities, randomisation and conditionalisation.
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Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $16.62, like new condition, Sold by More Than Words rated 4.0 out of 5 stars, ships from Waltham, MA, UNITED STATES, published 1999 by Open Court.
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Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $25.97, new condition, Sold by Southern Maryland Books rated 4.0 out of 5 stars, ships from Waldorf, MD, UNITED STATES, published 1993 by Open Court Publishing Company.
Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $28.00, good condition, Sold by SuzyQBooks rated 4.0 out of 5 stars, ships from Salt Lake City, UT, UNITED STATES, published 1993 by Open Court Pub Co.
Add this copy of Scientific Reasoning: Bayesian Approach to cart. $60.47, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 1999 by Open Court Publishing Co, U. S.
Add this copy of Scientific Reasoning: the Bayesian Approach. 2nd Ed to cart. $72.50, like new condition, Sold by Rob the Book Man rated 4.0 out of 5 stars, ships from Vancouver, WA, UNITED STATES, published 1993 by Chicago, Illinois, U.S.A. : Open Court Pub Co.
Applications of Bayesian statistics are just now elbowing their way into service in many fields, yet statistical education for users of statistics who are not professional statisticians is still mired in "orthodoxy." This somewhat older book is an excellent introduction to the field and explains the arguments and counter-arguments clearly and in a studied, logical fashion. There is a certain amount of polemic (par for the course), but polite in a British kind of way (nothing like the rough-and-tumble anti-frequentist zingers of ET Jaynes). The math is accessible to anyone who took algebra, and is present in just the right quantity.
