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

Published:08 December 2002Publication History

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.

References

  1. Law, A. M. and W. D. Kelton. 2000. Simulation Modeling and Analysis. 3d ed. New York: McGraw-Hill. Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. ExpertFit: how the ExpertFit distribution-fitting software can make your simulation models more valid

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    • Published in

      cover image ACM Conferences
      WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiers
      December 2002
      2143 pages
      ISBN:0780376153
      • General Chair:
      • Jane L. Snowdon,
      • Program Chair:
      • John M. Charnes

      Publisher

      Winter Simulation Conference

      Publication History

      • Published: 8 December 2002

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      WSC '02 Paper Acceptance Rate166of185submissions,90%Overall Acceptance Rate3,413of5,075submissions,67%
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