Tutorial: Input uncertainty in outout analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

50 Scopus citations

Abstract

Simulation output clearly depends on the form of the input distributions used to drive the model. Often these input distributions are fitted using finite samples of real-world data. The finiteness of the samples introduces errors in the input distributions, affecting the output. Yet this propagation of input model uncertainty to output uncertainty is rarely considered in simulation output analysis. This tutorial presents a discussion of input uncertainty issues and recently developed methodological approaches, set in the context of input uncertainty methods proposed over the past twenty years.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 Winter Simulation Conference, WSC 2012
DOIs
StatePublished - Dec 1 2012
Event2012 Winter Simulation Conference, WSC 2012 - Berlin, Germany
Duration: Dec 9 2012Dec 12 2012

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Other

Other2012 Winter Simulation Conference, WSC 2012
CountryGermany
CityBerlin
Period12/9/1212/12/12

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All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Barton, R. R. (2012). Tutorial: Input uncertainty in outout analysis. In Proceedings of the 2012 Winter Simulation Conference, WSC 2012 [6465266] (Proceedings - Winter Simulation Conference). https://doi.org/10.1109/WSC.2012.6465266