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• W1991470567 abstract "This paper presents a computational alternative to simulation for a large class of stochastic management models involving functions of random variables. An example of a model in this class is the well-known “risk analysis” problem studied by Hertz and Hillier. Our computational approach includes (i) a versatile framework to describe the univariate and dependence characteristics of a model's random variables, and (ii) formulas for computing the central moments of the model's objective variable. The usefulness of these central moments in decision making is then illustrated and discussed." @default.
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• W1991470567 date "1982-07-01" @default.
• W1991470567 modified "2023-09-23" @default.
• W1991470567 title "A Four-Moments Alternative to Simulation for a Class of Stochastic Management Models" @default.
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• W1991470567 doi "https://doi.org/10.1287/mnsc.28.7.749" @default.
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