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Full Description
This 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 Supported by the relevant mathematical theory, the text contains a great deal of unpublished research material, including coverage of the analysis of shift-register generators, sensitivity analysis of normal variate generators, analysis of simulation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. Also included is a selection of computer programs.
Contents
Aims of Simulation; Pseudo-Random Numbers; Random Variables; Stochastic Models; Variance Reduction; Output Analysis; Uses of Simulation; Appendixes; Index.
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