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Simulation Modeling And Analysis (SIE)
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ISBN
:
9780070667334
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Publisher
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Tata Mcgraw Hill Education Private Limited
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Subject
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Encyclopaedias & Reference Works
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Binding
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Paperback
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Pages
:
790
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Year
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2007
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980.0
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754.0
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Description
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 Table Of Contents Chapter 1 Basic Simulation Modeling Chapter 2 Modeling Complex Systems Chapter3 Simulation Software Chapter 4 Review of Basic Probability and Statistics Chapter 5 Building Valid, Credible, and Appropriately Chapter Detailed Simulation Models Chapter 6 Selecting Input Probability Distributions Chapter 7 Random-Number Generators Chapter 8 Generating Random Variates Chapter 9 Output Data Analysis for a Single System Chapter 10 Comparing Alternative System Configurations Chapter 11 Variance-Reduction Techniques Chapter 12 Experimental Design, Sensitivity Analysis, and Optimization Chapter 13 Simulation of Manufacturing Systems
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