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  • 256pages
  • 9 heures de lecture

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A comprehensive guide to simulation methods with explicit recommendations of methods and algorithms. Covers both the technical aspects of the subject, such as the generation of random numbers, non-uniform random variates and stochastic processes, and the use of simulation. Supported by the relevant mathematical theory, the text contains a great deal of unpublished research material, including coverage of the analysis of shift-register generators, sensitivity analysis of normal variate generators, analysis of simulation output, and more. Includes a selection of computer programs.

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Stochastic Simulation, Brian D. Ripley, Vic Barnett, Ralph A. Bradley, David G. Kendall, J. Stuart Hunter, Rupert G. Miller, Jr., Adrian F. M. Smith, Stephen M. Stigler, Geoffrey S. Watson

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Année de publication
1987
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(rigide),
État du livre
Bon
Prix
24,99 €

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