Foundations of Decision Analysis

Author:   Ronald Howard ,  Ali Abbas
Publisher:   Pearson Education (US)
ISBN:  

9780132336246


Pages:   832
Publication Date:   31 March 2015
Replaced By:   9781292079691
Format:   Hardback
Availability:   Available To Order   Availability explained
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Foundations of Decision Analysis


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Full Product Details

Author:   Ronald Howard ,  Ali Abbas
Publisher:   Pearson Education (US)
Imprint:   Pearson
Dimensions:   Width: 18.50cm , Height: 3.30cm , Length: 23.40cm
Weight:   1.143kg
ISBN:  

9780132336246


ISBN 10:   0132336243
Pages:   832
Publication Date:   31 March 2015
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9781292079691
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Part 1 Defining a Good Decision Chapter 1: Introduction to Quality Decision Making Chapter 2: Experiencing a Decision Part 2 Clear Thinking and Characterization Chapter 3: Clarifying Values Chapter 4: Precise Decision Language Chapter 5: Possibilities Chapter 6: Handling Uncertainty Chapter 7: Relevance Part 3 Making any Decision Chapter 8: Rules of Actional Thought Chapter 9: The Party Problem Chapter 10: Using a Value Measure Part 4 Building on the Rules Chapter 11: Risk Attitude Chapter 12: Sensitivity Analysis Chapter 13: Basic Information Gathering Chapter 14: Decision Diagrams Part 5 Characterizing What you Know Chapter 15: Encoding a Probability Distribution on a Measure Chapter 16: From Phenomenon to Assessment Part 6 Framing a Decision Chapter 17: Framing a Decision Part 7 Advanced Information Gathering Chapter 18: Valuing Information from Multiple Sources Chapter 19: Options Chapter 20: Detectors with Multiple Indications Chapter 21: Decisions with Influences Part 8 Characterizing What You Want Chapter 22: The Logarithmic u-Curve Chapter 23: The Linear Risk Tolerance u-Curve Chapter 24: Approximate Expressions for the Certain Chapter 25: Deterministic and Probabilistic Dominance Chapter 26: Decisions with Multiple Attributes (1)–Ordering Chapter 27: Decisions with Multiple Attributes (2)–Value Functions Chapter 28: Decisions with Multiple Attributes (3)–Preference Equivalent Prospects with Preference and Value Functions for Investment Cash Flows: Time Preference Probabilities Over Value Part 9 Some Practical Extensions Chapter 29: Betting on Disparate Belief Chapter 30: Learning from Experimentation Chapter 31: Auctions and Bidding Chapter 32: Evaluating, Scaling, and Sharing Uncertain Deals Chapter 33: Making Risky Decisions Chapter 34: Decisions with a High Probability of Death Part 10 Computing Decision Problems Chapter 35: Discretizing Continuous Probability Distributions Chapter 36: Solving Decision Problems by Simulation Part 11 Professional Decisions Chapter 37: The Decision Analysis Cycle Chapter 38: Topics in Organizational Decision Making Chapter 39: Coordinating the Decision Making of Large Part 12 Ethical Considerations Chapter 40: Decisions and Ethics Groups

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