DocumentCode :
388669
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 :
2002
fDate :
8-11 Dec. 2002
Firstpage :
199
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 :
digital simulation; probability; software packages; ExpertFit distribution-fitting software; real-world data; simulation input modeling; Analytical models; Information analysis; Machine tools; Manufacturing systems; Probability distribution; Statistical analysis; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2002. Proceedings of the Winter
Print_ISBN :
0-7803-7614-5
Type :
conf
DOI :
10.1109/WSC.2002.1172885
Filename :
1172885
Link To Document :
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