• DocumentCode
    2118303
  • Title

    How the ExpertFit distribution-fitting software can make your simulation models more valid

  • Author

    Law, Averill M. ; McComas, Michael G.

  • Author_Institution
    Averill M. Law & Associates, Inc., Tucson, AZ, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    256
  • Abstract
    The authors discuss the critical role of simulation input modeling in a successful simulation study. Two pitfalls in simulation input modeling are then presented and we explain how any analyst, regardless of their knowledge of statistics, can easily avoid these pitfalls through the use of the ExpertFit distribution-fitting software. We use a set of real-world data to demonstrate how the software automatically specifies and ranks probability distributions, and then tells the analyst whether the "best" candidate distribution is actually a good representation of the data. If no distribution provides a good fit, then ExpertFit can define an empirical distribution. In either case, the selected distribution is put into the proper format for direct input to the analyst\´s simulation software
  • Keywords
    data analysis; digital simulation; probability; statistical analysis; ExpertFit distribution-fitting software; best candidate distribution; critical role; data representation; direct input; empirical distribution; probability distributions; real-world data; simulation input modeling; simulation models; simulation software; simulation study; statistics; Analytical models; Exponential distribution; Information analysis; Machine tools; Manufacturing systems; Probability distribution; Software performance; Statistical analysis; Statistical distributions; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2001. Proceedings of the Winter
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-7307-3
  • Type

    conf

  • DOI
    10.1109/WSC.2001.977281
  • Filename
    977281