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Data Structures and Simple Algorithms

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Computational Probability

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 246))

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Abstract

This chapter introduces the data structures necessary to define a discrete random variable in APPL and surveys some simple algorithms associated with discrete random variables. The first section will show that the nature of the support of discrete random variables makes the data structures required much more complicated than for continuous random variables.

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References

  1. Benford F (1938) The law of anomalous numbers. Proc Am Philos Soc 78: 551–572

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  2. Hogg RV, McKean JW, Craig AT (2005) Introduction to the mathematical statistics, 6th edn. Prentice-Hall, Upper Saddle River, New Jersey

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  3. Karian ZA, Tanis EA (1999) Probability and statistics: explorations with Maple, 2nd edn. Prentice-Hall, Upper Saddle River, New Jersey

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  4. Leemis L (1995) Reliability: probabilistic models and statistical methods. Prentice-Hall, Upper Saddle River, New Jersey

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  5. Ross S (2006) A first course in probability, 7th edn. Prentice Hall, Upper Saddle River, New Jersey

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Drew, J.H., Evans, D.L., Glen, A.G., Leemis, L.M. (2017). Data Structures and Simple Algorithms. In: Computational Probability. International Series in Operations Research & Management Science, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-319-43323-3_7

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