A textbook and guide to conducting Bayesian decision analysis of sometimes very complex policies and collaborative decisions.
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Jim Q. Smith is a Professor of Statistics at the University of Warwick.
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. pp. ix + 338 Figures, Illus. Artikel-Nr. 8103868
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Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Artikel-Nr. ABBB-136142
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Artikel-Nr. ABBB-132307
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780521764544. Artikel-Nr. 5845161
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 300 pages. 9.76x7.09x0.87 inches. In Stock. Artikel-Nr. x-0521764548
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. A textbook and guide to conducting Bayesian decision analysis of sometimes very complex policies and collaborative decisions. Num Pages: 348 pages, 65 exercises. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 253 x 182 x 22. Weight in Grams: 840. . 2010. Illustrated. hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521764544
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis of simple decision problems to a careful analysis of the sometimes very complex and data rich structures confronted by practitioners. The book contains basic material on subjective probability theory and multi-attribute utility theory, event and decision trees, Bayesian networks, influence diagrams and causal Bayesian networks. The author demonstrates when and how the theory can be successfully applied to a given decision problem, how data can be sampled and expert judgements elicited to support this analysis, and when and how an effective Bayesian decision analysis can be implemented. Evolving from a third-year undergraduate course taught by the author over many years, all of the material in this book will be accessible to a student who has completed introductory courses in probability and mathematical statistics. Artikel-Nr. 9780521764544
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