rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Foundations and Methods of Stochastic Simulation
    sub title: A First Course
  name:
    name part: Nelson, Barry L.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Pei, Linda.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 2nd ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XVI, 313 pages 65 illustrations, 9 illustrations in color.)
  abstract: This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.
  table of contents: Chapter 1: Why Do We Simulate -- Chapter 2: Simulation Programming: Quick Start -- Chapter 3: Examples -- Chapter 4: Simulation Programming with PythonSim -- Chapter 5: Three Views of Simulation -- Chapter 6: Simulation Input -- Chapter 7: Simulation Output -- Chapter 8: Experiment Design and Analysis -- Chapter 9: Simulation Optimization and Sensitivity -- Chapter 10: Simulation for Research -- References -- Index.
  note: by Barry L. Nelson, Linda Pei.
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Management science
  subject:
    topic: Computer simulation
  subject:
    topic: Statistics
  subject:
    topic: Operations Research/Decision Theory
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: International Series in Operations Research & Management Science, 316
  identifier: 9783030861940
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 211110
    record change date: 20230330185319.4
    record identifier: in00004376483