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Simulation modeling and analysis

By: Material type: TextLanguage: English Publisher: [New York] : McGraw Hill, [2024]Copyright date: ©2024Edition: Sixth edition. Averill M. LawDescription: xxi, 657 pages, 8 unnumbered pages of plates illustrations (black and white, and colour) 25 cmContent type:
  • text, still image
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781264268245
Subject(s): DDC classification:
  • 003.3 23/swe
LOC classification:
  • QA76.9.C65
This fully-revised book has the most comprehensive and up-to-date coverage of all aspects of a simulation study. Equally well suited for use in university courses, simulation practice, and self-study, the book offers clear and intuitive explanations, as well as 300 figures, 218 examples, and 217 problems. You will get detailed discussions on modelling and simulation, simulation software, model verification and validation, input modelling, random-number and variate generation, statistical design and analysis of simulation experiments, experimental design, simulation optimisation, agent-based simulation, machine learning, and much more. Authored by an operations research analyst and industrial engineer with more than 40 years of experience, 'Simulation Modeling and Analysis' is widely regarded as the 'bible' of simulation.
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Book Högskolan Väst Entréplan / Entrance floor 003 Law Available 6004300077266
Total holds: 0

Previous edition: 2015.

Includes bibliographical references and index.

This fully-revised book has the most comprehensive and up-to-date coverage of all aspects of a simulation study. Equally well suited for use in university courses, simulation practice, and self-study, the book offers clear and intuitive explanations, as well as 300 figures, 218 examples, and 217 problems. You will get detailed discussions on modelling and simulation, simulation software, model verification and validation, input modelling, random-number and variate generation, statistical design and analysis of simulation experiments, experimental design, simulation optimisation, agent-based simulation, machine learning, and much more. Authored by an operations research analyst and industrial engineer with more than 40 years of experience, 'Simulation Modeling and Analysis' is widely regarded as the 'bible' of simulation.

Specialized.

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