## Introduction to quantitative business analysis |

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### Contents

Probability and Expected Value | 11 |

Utility in Decision Making | 40 |

The Value of Additional Information | 62 |

Copyright | |

9 other sections not shown

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### Common terms and phrases

allocation alternative approximated average basic feasible solution basic variables coefficients column constraints convex set customers dealer decision maker decision problem defective demand denoted determine draw equal equation example expected profit expected utility expected value extreme point factory firm given Hence implicit cost indirect cost integer solution inventory linear programming LP problem mathematical matrix maximize maximum mean service rate minimax minimize mixed strategy nonbasic variables nonlinear nonlinear programming nonnegative number of units objective function obtained occur opportunity loss optimal solution outcome parameter payoff table percent perfect information Pn(t Poisson distribution portfolio possible primal prior probability Prob probability assignments probability of winning procedure production programming problem quantitative analysis queue random variable reference contract respect result risk preference function risk-neutral Similarly simplex criterion simulation slack variable Smith solve Suppose tableau technique vector yield zero