DocumentCode :
3269924
Title :
How the ExpertFit® distribution-fitting software can make your simulation models more valid
Author :
Law, Averill M.
Author_Institution :
Averill M. Law & Assoc., Inc., Tucson, AZ, USA
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
63
Lastpage :
69
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 :
data structures; digital simulation; statistical distributions; ExpertFit distribution-fitting software; data representation; probability distributions; real-world data; simulation input modeling; simulation models; simulation software; Analytical models; Computational modeling; Data models; Delay; Probability distribution; Shape; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2011 Winter
Conference_Location :
Phoenix, AZ
ISSN :
0891-7736
Print_ISBN :
978-1-4577-2108-3
Electronic_ISBN :
0891-7736
Type :
conf
DOI :
10.1109/WSC.2011.6147740
Filename :
6147740
Link To Document :
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