Making better decisions : decision theory in practice

Itzhak Gilboa

"Making Better Decisions introduces readers to some of the principal aspects of decision theory, and examines how these might lead us to make better decisions.[bullet] Introduces readers to key aspects of decision theory and examines how they might help us make better decisions[bullet] Presentation of material encourages readers to imagine a situation and make a decision or a judgment[bullet] Offers a broad coverage of the subject including major insights from several sub-disciplines: microeconomic theory, decision theory, game theory, social choice, statistics, psychology, and philosophy[bullet] Explains these insights informally in a language that has minimal mathematical notation or jargon, even when describing and interpreting mathematical theorems[bullet] Critically assesses the theory presented within the text, as well as some of its critiques[bullet] Includes a web resource for teachers and students"--

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Year of publication:	2011
Authors:	Gilboa, Itzhak
Publisher:	Chichester, West Sussex [u.a.] : Wiley-Blackwell
Subject:	Entscheidung \| Decision \| Entscheidungstheorie \| Decision theory \| Entscheidung unter Risiko \| Decision under risk \| Entscheidung unter Unsicherheit \| Decision under uncertainty \| Rationalität \| Rationality \| Entscheidungsfindung
Description of contents:	Table of Contents [gbv.de] ; Description [swbplus.bsz-bw.de]

Extent:	IX, 219 S. graph. Darst
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Lehrbuch ; Textbook
Language:	English
Notes:	Includes bibliographical references and index Machine generated contents note: Chapter 1 Background.Suggested Reading. -- Chapter 2 Judgment and Choice Biases. -- Introduction. -- Problems - Group A. -- Problems - Group B. -- Framing Effects. -- Brainstorming and Formal Models. -- Endowment Effect. -- Sunk Costs. -- Decision Trees. -- Representativeness Heuristic. -- Availability Heuristic. -- Anchoring. -- Mental Accounting. -- Dynamic Inconsistency. -- Exercises. -- Chapter 3 Consuming Statistical Data. -- Introduction. -- Problems. -- Conditional Probabilities. -- Gambler's Fallacy. -- Biased Samples. -- Regression to the Mean. -- Correlation and Causation. -- Statistical Significance. -- Bayesian and Classical Statistics. -- Exercises. -- Chapter 4 Decisions under Risk. -- Introduction. -- Problems. -- The Independence Axiom. -- von-Neumann and Morgenstern's Result. -- Measurement of Utility. -- Risk Aversion. -- Prospect Theory. -- Exercises. -- Chapter 5 Decisions under Uncertainty. -- Introduction. -- Problems. -- Subjective Probability. -- Learning from the fact we know. -- Causality. -- The Sure Thing Principle. -- Alternative Models. -- Objective Probabilities. -- Exercises. -- Chapter 6 Well-Being and Happiness. -- Introduction. -- Problems - Group A. -- Problems - Group B. -- Well Being. -- Measurement Issues. -- What's Happiness? -- Exercises. -- Chapter 7 Appendix A: Optimal Choice. -- Chapter 8 Appendix B: Probability and Statistics. -- Solutions. Machine generated contents note: Chapter 1 Background. -- Suggested Reading. -- Chapter 2 Judgment and Choice Biases. -- Introduction. -- Problems - Group A. -- Problems - Group B. -- Framing Effects. -- Brainstorming and Formal Models. -- Endowment Effect. -- Sunk Costs. -- Decision Trees. -- Representativeness Heuristic. -- Availability Heuristic. -- Anchoring. -- Mental Accounting. -- Dynamic Inconsistency. -- Exercises. -- Chapter 3 Consuming Statistical Data. -- Introduction. -- Problems. -- Conditional Probabilities. -- Gambler's Fallacy. -- Biased Samples. -- Regression to the Mean. -- Correlation and Causation. -- Statistical Significance. -- Bayesian and Classical Statistics. -- Exercises. -- Chapter 4 Decisions under Risk. -- Introduction. -- Problems. -- The Independence Axiom. -- von-Neumann and Morgenstern's Result. -- Measurement of Utility. -- Risk Aversion. -- Prospect Theory. -- Exercises. -- Chapter 5 Decisions under Uncertainty. -- Introduction. -- Problems. -- Subjective Probability. -- Learning from the fact we know. -- Causality. -- The Sure Thing Principle. -- Alternative Models. -- Objective Probabilities. -- Exercises. -- Chapter 6 Well-Being and Happiness. -- Introduction. -- Problems - Group A. -- Problems - Group B. -- Well Being. -- Measurement Issues. -- What's Happiness? -- Exercises. -- Chapter 7 Appendix A: Optimal Choice. -- Chapter 8 Appendix B: Probability and Statistics. -- Solutions.
ISBN:	978-1-4443-3652-8 ; 978-1-4443-3651-1
Classification:	Unternehmensführung
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10008664477