Decision Analysis: Introductory Lectures on Choices Under UncertaintyYour basic problem; Analysis of your basic problem; Uncertain payoffs and biased measurements; Utility theory or what to do about non-EMV'ers; Use of judgmental probability; The normal form of analysis; More on the economics of sampling; Risk sharing and group decisions; The art of implementation and general critique; Further perspectives and a guide to the literature; Index; The data of your basic problem. |
Contents
Your Basic Problem | 1 |
Analysis of Your Basic Problem | 7 |
Summary and generalization | 33 |
Copyright | |
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01 is true 01 urns a₁ acceptance set analyze assume Bayesian behavior branches C₁ chance forks chapter choice choose a2 conditional probability consider cost decision analysis decision maker decision problem decision-flow diagram discuss draw e₁ Emv'er example expected utility expected value experimentation and action exponential utility Figure form of analysis gamble give given indifference curves individuals interval joint conditional evaluation joint utility evaluation judgmental probability labeled lectures likelihood function Likelihood Principle mathematical maximize monetary non-Emv'er optimal strategy option outcome pair Pareto-optimal partition path probabilities payoffs perfect information possible posterior posterior probability prefer Principle prizes probability assessments probability assignments probability distribution procedure red ball risk sharing sample shown in Fig situation statistical Substitution Suppose Table theory tion toss tree true proportion type 01 ū₁ uncertain quantities uncertainty utility curve utility function utility value w-indifference zero πί



