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 ...
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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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Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $11.98, good condition, Sold by ThriftBooks-Dallas rated 4.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 1988 by Open Court Pub Co.
Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $18.20, new condition, Sold by Chidoc5 Rare Books rated 2.0 out of 5 stars, ships from Highland Park, IL, UNITED STATES, published 1989 by Open Court Pub Co.
Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $21.47, fair condition, Sold by Anybook rated 5.0 out of 5 stars, ships from Lincoln, UNITED KINGDOM, published 1990 by Open Court Publishing Co, U. S.
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This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 600grams, ISBN: 0812690842.
Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $22.28, fair condition, Sold by Dream Books Co. rated 5.0 out of 5 stars, ships from Denver, CO, UNITED STATES, published 2006 by Open Court.
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Fair. This copy has clearly been enjoyed-expect noticeable shelf wear and some minor creases to the cover. Binding is strong and all pages are legible. May contain previous library markings or stamps.
Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $23.00, very good condition, Sold by Common Crow Books rated 5.0 out of 5 stars, ships from Pittsburgh, PA, UNITED STATES, published 1989 by Open Court.
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Very Good+ Signed by John Earman, who is cited on page 207! Stated first printing, 1989, paperback, octavo, 312pp., not illustrated. Book VG+ with mild edgewear to wrap, binding tight, text clean and unmarked. No DJ.
Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $25.00, very good condition, Sold by BookHouse On-Line rated 5.0 out of 5 stars, ships from Minneapolis, MN, UNITED STATES, published 1989 by Open Court Pub Co.
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Very Good. Size: 8x6x1; Spine is uncreased, binding tight and sturdy; text also very good; gentle creases to front cover. Ships from Dinkytown in Minneapolis, Minnesota.
Add this copy of Scientific Reasoning: the Bayesian Approach to cart. $26.88, very good condition, Sold by Solr Books rated 5.0 out of 5 stars, ships from Lincolnwood, IL, UNITED STATES, published 2006 by Open Court.
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Fine. Trade paperback (US). Glued binding. 470 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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.
