DocumentCode :
402130
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 :
2003
fDate :
7-10 Dec. 2003
Firstpage :
169
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; statistical distributions; Expertfit distribution-fitting software; best candidate distribution; data representation; empirical distribution; probability distributions; real-world data; simulation input modeling; simulation model validity; simulation software; simulation study; statistics knowledge; Analytical models; Information analysis; Machine tools; Manufacturing processes; Manufacturing systems; Performance analysis; Probability distribution; Statistical analysis; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2003. Proceedings of the 2003 Winter
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/WSC.2003.1261420
Filename :
1261420
Link To Document :
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