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Foundations of Decision Analysis, Global Edition

Autor Ali Abbas, Ronald Howard
en Limba Engleză Paperback – 18 mar 2015

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Specificații

ISBN-13: 9781292079691
ISBN-10: 129207969X
Pagini: 832
Dimensiuni: 180 x 234 x 38 mm
Greutate: 1.32 kg
Ediția:Global ed
Editura: Pearson Education

Cuprins

  • 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