## Fundamentals of decision analysis |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Chapter One INTRODUCTION AND PREVIEW | 3 |

Appendix | 15 |

On Formulating Decision Trees | 23 |

Copyright | |

18 other sections not shown

### Common terms and phrases

after-four assess assume assumption basic canonical randomization Bayesian calculate canonical lottery canonical probability cardinally admissible cardinally dominated certainty equivalent Chapter choice choose concave conditional probabilities consequences consists cumulative distribution function decision analysis decision problem decision tree Definition denote determine dpuu dpuu's ee's elementary events Equation Exercise Figure finite number g-move graph hence implies inference infinite judgments likelihood function Likelihood Principle mass function maximin maximizes Method monetary returns move mutually exclusive n-tuple Normal density function normal form notation Note Observation obtain opportunity optimal strategy ordinally outcomes P(ft parameters posterior probability preferences prior probability Proof pure strategies quantify randomized strategy real number real random variable real-valued risk aversion sample sampling-theoretic satisfy Section 7.3 sharing rules Show Si's simulation SL'S stage standard extensive form step stochastic strictly increasing subset sufficient statistic Suppose Theorem U(PS utility characteristic utility function verify