DECISION THEORY PRINCIPLES AND APPROACHES (HB 2009)
PARMIGIANI
ISBN 10: 047149657X ISBN 13: 9780471496571
Edité par JOHN WILEY (ORIGINAL), 2009
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A propos de cet article
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Synopsis :
Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice.
The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decision making and presenting ideas in a unified framework and notation while respecting and highlighting the different and sometimes conflicting perspectives.
This book:
* Provides a rich collection of techniques and procedures.
* Discusses the foundational aspects and modern day practice.
* Links foundations to practical applications in biostatistics, computer science, engineering and economics.
* Presents different perspectives and controversies to encourage readers to form their own opinion of decision making and statistics.
Decision Theory is fundamental to all scientific disciplines, including biostatistics, computer science, economics and engineering. Anyone interested in the whys and wherefores of statistical science will find much to enjoy in this book.
À propos de l?auteur: Giovanni Parmigiani is the author of Decision Theory: Principles and Approaches, published by Wiley.
Lurdes Yoshiko Tani Inoue is a Brazilian-born statistician of Japanese descent, who specializes in Bayesian inference. She works as a professor of biostatistics in the University of Washington School of Public Health.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Titre : DECISION THEORY PRINCIPLES AND APPROACHES (...
Éditeur : JOHN WILEY (ORIGINAL)
Date d'édition : 2009
Reliure : Couverture rigide
Etat : Brand New
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Decision Theory : Principles and Approaches
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Wiley, 2009
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ISBN 13 : 9780471496571
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Decision Theory : Principles and Approaches
Edité par
Wiley, 2009
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ISBN 13 : 9780471496571
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Couverture rigide
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Decision Theory (Hardcover)
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John Wiley & Sons Inc, New York, 2009
ISBN 10 : 047149657X
ISBN 13 : 9780471496571
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Hardcover. Etat : new. Hardcover. Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice. The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decision making and presenting ideas in a unified framework and notation while respecting and highlighting the different and sometimes conflicting perspectives. This book: * Provides a rich collection of techniques and procedures. * Discusses the foundational aspects and modern day practice. * Links foundations to practical applications in biostatistics, computer science, engineering and economics. * Presents different perspectives and controversies to encourage readers to form their own opinion of decision making and statistics. Decision Theory is fundamental to all scientific disciplines, including biostatistics, computer science, economics and engineering. Anyone interested in the whys and wherefores of statistical science will find much to enjoy in this book. Offers a rich collection of techniques. Discusses the foundational aspects and modern day practice. Accessible to anyone with knowledge of advanced calculus. Provides a unified framework to discuss the many different perspectives. Includes numerous practical applications in biostatistics, computer science, engineering and economics. . Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780471496571
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