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Models and Simulation

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Abstract

Simulation is a working analogy. Its object is that of providing a facility for the study of issues, processes, or products which are novel or complex by emulating their properties or relations. When analogous systems are constructed, measurements or other observations made on the simulator may be used to predict the characteristics or the behavior of the target object or system.

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Notes

  1. 1.

    H.R. McMaster “Dereliction of Duty,” Harper Perennial, New York, 1997.

  2. 2.

    The Economist, March 15, 2014.

  3. 3.

    Mitsuo Fuchida and Masatake Okumiya “Midway. The Battle that Doomed Japan,” United States Naval Institute, Annapolis, 1955.

  4. 4.

    The Economist, January 23, 2010.

  5. 5.

    The word “error” is one of those terms which have been used and misused in many cases with different and often contradictory meanings. In information science and in mathematical modeling an “error” is an important integral part of the process under consideration—a crucial factor in any operations system.

  6. 6.

    Morgenstern, an economist, did not believe that economics could be used for predicting business activity.

  7. 7.

    D.N. Chorafas Operations Research for Industrial Management, Reinhold Publishing, New York, 1958.

  8. 8.

    D.N. Chorafas “Risk Management Technology in Financial Services,” Elsevier, London 2007.

  9. 9.

    D.N. Chorafas “Rocket Scientists in Banking,” Lafferty Publications, London and Dublin, 1995.

  10. 10.

    The Sunday Times, April 3, 1994.

  11. 11.

    D.N. Chorafas Chaos Theory in the Financial Markets, Probus, Chicago, 1994.

  12. 12.

    D.N. Chorafas “Stress Testing for Risk Control Under Basel II,” Elsevier, Oxford and Boston, 2007.

  13. 13.

    Michael S. Gazzanica “Who’s in Charge,” Ecco/Harper Collins, New York, 2012.

  14. 14.

    Andrew Ross Sorkin, “Too Big Too Fail,” Penguin, New York, 2009.

  15. 15.

    Frank Partnoy “The Match King,” Profile Books, London, 2009.

  16. 16.

    Charles Kindleberger “International Economics,” Irwin, Homewood, Ill., 1953.

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Correspondence to Dimitris N. Chorafas .

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© 2015 Springer International Publishing Switzerland

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Chorafas, D.N. (2015). Models and Simulation. In: Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-09189-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-09189-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09188-4

  • Online ISBN: 978-3-319-09189-1

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