Synopsis
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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Scientific Reasoning: The Bayesian Approach
Edité par
Open Court, 2006
ISBN 10 : 081269578X
ISBN 13 : 9780812695786
Ancien ou d'occasion
Couverture souple
Vendeur : Goodwill of Colorado, COLORADO SPRINGS, CO, Etats-Unis
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Etat : acceptable. This item is in overall acceptable condition. Covers and dust jackets are intact but may have heavy wear including creases, bends, edge wear, curled corners or minor tears as well as stickers or sticker-residue. Pages are intact but may have minor curls, bends or moderate to considerable highlighting writing. Binding is intact; however, spine may have heavy wear. Digital codes may not be included and have not been tested to be redeemable and or active. A well-read copy overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you! N° de réf. du vendeur 466M6D000BOC
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Scientific Reasoning: The Bayesian Approach
Edité par
Open Court, 2005
ISBN 10 : 081269578X
ISBN 13 : 9780812695786
Ancien ou d'occasion
Paperback
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
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Paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_448842697
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Scientific Reasoning : The Bayesian Approach
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : New. N° de réf. du vendeur 3370213-n
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Scientific Reasoning: The Bayesian Approach (Paperback or Softback)
Edité par
Open Court Publishing Company 12/1/2005, 2005
ISBN 10 : 081269578X
ISBN 13 : 9780812695786
Neuf
Paperback or Softback
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
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Paperback or Softback. Etat : New. Scientific Reasoning: The Bayesian Approach. Book. N° de réf. du vendeur BBS-9780812695786
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Scientific Reasoning: The Bayesian Approach
Vendeur : Lakeside Books, Benton Harbor, MI, Etats-Unis
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Etat : New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! N° de réf. du vendeur OTF-S-9780812695786
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Scientific Reasoning: The Bayesian Approach
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Feb2416190221335
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Scientific Reasoning : The Bayesian Approach
Edité par
Open Court, 2006
ISBN 10 : 081269578X
ISBN 13 : 9780812695786
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 3370213
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Scientific Reasoning
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur CX-9780812695786
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Scientific Reasoning (Paperback)
Edité par
Open Court Publishing Co ,U.S., Chicago, IL, 2006
ISBN 10 : 081269578X
ISBN 13 : 9780812695786
Neuf
Paperback
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780812695786
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Image d'archives
Scientific Reasoning: The Bayesian Approach
Edité par
Open Court, 2006
ISBN 10 : 081269578X
ISBN 13 : 9780812695786
Ancien ou d'occasion
Couverture souple
Vendeur : Anybook.com, Lincoln, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780812695786. N° de réf. du vendeur 9715399
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