• DocumentCode
    3269924
  • Title

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

  • Author

    Law, Averill M.

  • Author_Institution
    Averill M. Law & Assoc., Inc., Tucson, AZ, USA
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    63
  • Lastpage
    69
  • Abstract
    In this paper, we 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 structures; digital simulation; statistical distributions; ExpertFit distribution-fitting software; data representation; probability distributions; real-world data; simulation input modeling; simulation models; simulation software; Analytical models; Computational modeling; Data models; Delay; Probability distribution; Shape; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2011 Winter
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4577-2108-3
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2011.6147740
  • Filename
    6147740