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Decision Theory and Decision Analysis: Trends and Challenges

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Cover of 'Decision Theory and Decision Analysis: Trends and Challenges'

Table of Contents

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    Book Overview
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    Chapter 1 The Prescriptive Orientation of Decision Making: A Synthesis of Decision Analysis, Behavioral Decision Making, and Game Theory
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    Chapter 2 A Perspective on Recent Developments in Utility Theory
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    Chapter 3 Decision Influence Diagrams and Their Uses
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    Chapter 4 A Pyramid of Decision Approaches
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    Chapter 5 Direct Decision Making
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    Chapter 6 On Some Conditions for the Ellsberg Phenomenon
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    Chapter 7 On the Foundations of Robust Decision Making
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    Chapter 8 Rational Comparisons and Numerical Representations
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    Chapter 9 Robust Decision Making as a Decision Making Aid Under Uncertainty
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    Chapter 10 Topological Characterizations of Posets
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    Chapter 11 Inference in Multidimensional Gaussian Processes
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    Chapter 12 An Explanation and Characterization for the Buying of Lotteries
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    Chapter 13 Stochastic Dominance for Elliptical Distributions: Applications in Bayesian Inference
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    Chapter 14 The Nearly Perfect Auctioneer: Cryptographic Protocols for Auctions and Bidding
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    Chapter 15 Optimal Hypothesis Testing with a Vague Prior
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    Chapter 16 Multiple Criteria Decision Making: Some Connections with Economic Analysis
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    Chapter 17 Experiments in Robust Decision Making
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    Chapter 18 Heuristic Solving of NP-Complete Job-Shop Scheduling Problems by Multicriteria Optimisation
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    Chapter 19 Multiple Choices in an Oligopolistic Market: Explicative Models and Neural Networks
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    Chapter 20 Expert-Based Value Functions for Soil Pollutants: Assessment and Aggregation of Responses
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Citations

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Title
Decision Theory and Decision Analysis: Trends and Challenges
Published by
Springer Science & Business Media, December 2012
DOI 10.1007/978-94-011-1372-4
ISBNs
978-9-40-111372-4, 978-9-40-104600-8
Editors

Ríos, Sixto

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 33%
Student > Bachelor 1 17%
Unknown 3 50%
Readers by discipline Count As %
Social Sciences 2 33%
Economics, Econometrics and Finance 1 17%
Unknown 3 50%