• DocumentCode
    2776198
  • Title

    A tutorial on design and analysis of simulation experiments

  • Author

    Kelton, W. David

  • Author_Institution
    Supercomput. Inst., Minnesota Univ., Minneapolis, MN, USA
  • fYear
    1995
  • fDate
    3-6 Dec 1995
  • Firstpage
    24
  • Lastpage
    31
  • Abstract
    This paper describes, in general terms, methods to help design the runs for simulation models and interpret their output. Statistical methods are described for several different purposes, and related problems like comparison, variance reduction, sensitivity estimation, metamodeling and optimization are mentioned. The main point is to call attention to the challenges and opportunities in using simulation models carefully and effectively
  • Keywords
    design of experiments; optimisation; sensitivity analysis; simulation; statistics; comparison; metamodeling; optimization; output interpretation; sensitivity estimation; simulation experiment analysis; simulation experiment design; simulation model runs; statistical methods; variance reduction; Analytical models; Computational modeling; Computer simulation; Manufacturing; Optimization methods; Statistical analysis; Supercomputers; System testing; Tutorial; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference Proceedings, 1995. Winter
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-78033018-8
  • Type

    conf

  • DOI
    10.1109/WSC.1995.478700
  • Filename
    478700