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{ "item_title" : "Stochastic Modeling", "item_author" : [" Barry L. Nelson "], "item_description" : "A coherent introduction to the techniques for modeling dynamic stochastic systems, this volume also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Suitable for advanced undergraduates and graduate-level industrial engineers and management science majors, it proposes modeling systems in terms of their simulation, regardless of whether simulation is employed for analysis. Beginning with a view of the conditions that permit a mathematical-numerical analysis, the text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Each chapter opens with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. Programming language-independent algorithms appear for all simulation and numerical procedures.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/48/647/770/0486477703_b.jpg", "price_data" : { "retail_price" : "19.95", "online_price" : "19.95", "our_price" : "19.95", "club_price" : "19.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Stochastic Modeling|Barry L. Nelson

Stochastic Modeling : Analysis and Simulation

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Overview

A coherent introduction to the techniques for modeling dynamic stochastic systems, this volume also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Suitable for advanced undergraduates and graduate-level industrial engineers and management science majors, it proposes modeling systems in terms of their simulation, regardless of whether simulation is employed for analysis.
Beginning with a view of the conditions that permit a mathematical-numerical analysis, the text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Each chapter opens with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. Programming language-independent algorithms appear for all simulation and numerical procedures.

Details

  • ISBN-13: 9780486477701
  • ISBN-10: 0486477703
  • Publisher: Dover Publications
  • Publish Date: May 2010
  • Dimensions: 9.1 x 6.1 x 0.8 inches
  • Shipping Weight: 0.95 pounds
  • Page Count: 336

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