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Description
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.
Pages
408 pages
Collection
Wiley Series in Probability and Statistics
Parution
2009-04-15
Marque
Wiley
EAN papier
9780471496571
EAN PDF
9780470746677
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
408
Taille du fichier
4342 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
102,28 €

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