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SIM MOD AND ANA SIE

Books from same Author: LAW

Books from same Publisher: McGraw Hill

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  • General Information  
    Author(s)LAW
    PublisherMcGraw Hill
    ISBN9780070667334
    BindingPaperback
    LanguageEnglish
    Publish YearJanuary 2007

    Description

    McGraw Hill SIM MOD AND ANA SIE by LAW

    Simulation Modeling and Analysis provides a comprehensive, state of the art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples and problems. It is equally well suited for use in university courses, simulation practice and self study. Key features Latest statistical techniques for estimating the performance measures of a simulated system, both for terminating and steady-state simulations. Comprehensive and practical discussion of how to validate a simulation model. Ranking and selection procedures for choosing the best system configuration, which allow the use of common random numbers for increased efficiency. Self-contained discussion of classical design of experiments, with a particular emphasis on how to correctly implement these techniques in the context of simulation modeling. Several detailed examples on the use of simulation based optimization. Pedagogy Solved examples, 209 Practice problems, 273 Latest statistical techniques for estimating the performance measures of a simulated system, both for terminating and steady-state simulations. Self-contained discussion of classical design of experiments, with a particular emphasis on how to correctly implement these techniques in the context of simulation modeling. Several detailed examples on the use of simulation-based optimization.


    Key Features:-

    • Latest statistical techniques for estimating the performance measures of a simulated system, both fo
    • Comprehensive and practical discussion of how to validate a simulation model.
    • Ranking and selection procedures for choosing the best system configuration, which allow the use of
    • Self-contained discussion of classical design of experiments, with a particular emphasis on how to c
    • Several detailed examples on the use of simulation-based optimization.