DocumentCode
2118303
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
2001
fDate
2001
Firstpage
256
Abstract
The authors 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 analysis; digital simulation; probability; statistical analysis; ExpertFit distribution-fitting software; best candidate distribution; critical role; data representation; direct input; empirical distribution; probability distributions; real-world data; simulation input modeling; simulation models; simulation software; simulation study; statistics; Analytical models; Exponential distribution; Information analysis; Machine tools; Manufacturing systems; Probability distribution; Software performance; Statistical analysis; Statistical distributions; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2001. Proceedings of the Winter
Conference_Location
Arlington, VA
Print_ISBN
0-7803-7307-3
Type
conf
DOI
10.1109/WSC.2001.977281
Filename
977281
Link To Document