Input modeling when simple models fail

Barry L. Nelson*, Peter Ware, Marne C. Cario, Chester A. Harris, Stephanie A. Jamison, J. O. Miller, James Steinbugl, Jaehwan Yang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncertain elements. Simple input models, consisting of independent and identically distributed sequences of random variates from standard probability distributions, are included in every commercial simulation language. Software to fit these distributions to data is also available. In this tutorial we describe input models that are useful when simple models are not.

Original languageEnglish (US)
Pages (from-to)93-100
Number of pages8
JournalWinter Simulation Conference Proceedings
DOIs
StatePublished - 1995
EventProceedings of the 1995 Winter Simulation Conference, WSC'95 - Arlington, VA, USA
Duration: Dec 3 1995Dec 6 1995

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety
  • Applied Mathematics

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