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- W1908245629 abstract "Managing risky opportunities, scenarios, and decisions are the most interesting and challenging aspects of human life. But meaningful characterization of risks is elusive because it relies on information that is incomplete, imperfect, and/or variable across time, space, and populations. And, consequently, informed decision making may be compromised. Probabilistic tools such as Monte Carlo simulation have evolved by which uncertainty and variability are characterized and carried through a process of generating probabilistic estimates of risk. The goal of this article is to introduce basic tools and techniques, and some of the more common extensions practiced in the field." @default.
- W1908245629 created "2016-06-24" @default.
- W1908245629 creator A5042426401 @default.
- W1908245629 date "2011-01-14" @default.
- W1908245629 modified "2023-09-27" @default.
- W1908245629 title "Monte Carlo Simulation for Quantitative Health Risk Analysis" @default.
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- W1908245629 doi "https://doi.org/10.1002/9780470400531.eorms0541" @default.
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