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- W2020676985 abstract "Practical limits on the size of most probabilistic models require that probability distributions be approximated by a few representative values and associated probabilities. This paper demonstrates that methods commonly used to determine discrete approximations of probability distributions systematically underestimate the moments of the original distribution. A new procedure based on gaussian quadrature is developed in this paper. It can be used to decrease the error in the approximation to any desired level." @default.
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- W2020676985 modified "2023-10-17" @default.
- W2020676985 title "Discrete Approximations of Probability Distributions" @default.
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- W2020676985 doi "https://doi.org/10.1287/mnsc.29.3.352" @default.
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