DocumentCode :
597475
Title :
A tutorial on how to select simulation input probability distributions
Author :
Law, Averill M.
Author_Institution :
Averill M. Law & Assoc., Inc., Tucson, AZ, USA
fYear :
2012
fDate :
9-12 Dec. 2012
Firstpage :
1
Lastpage :
15
Abstract :
An important, but often neglected, part of any sound simulation study is that of modeling each source of system randomness by an appropriate probability distribution. We first give some examples of data sets from real-world simulation studies, which is followed by a discussion of two critical pitfalls in simulation input modeling. The two major methods for modeling a source of randomness when corresponding data are available are delineated, namely, fitting a theoretical probability distribution to the data and the use of an empirical distribution. We then give a three-activity approach for choosing the theoretical distribution that best represents a set of observed data. This is followed by a discussion of how to model a source of system randomness when no data exist.
Keywords :
modelling; random processes; simulation; statistical distributions; empirical distribution; simulation input modeling; simulation input probability distribution; system randomness; three-activity approach; Analytical models; Data models; Delay; Histograms; Probability distribution; Standards; Tutorials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2012 Winter
Conference_Location :
Berlin
ISSN :
0891-7736
Print_ISBN :
978-1-4673-4779-2
Electronic_ISBN :
0891-7736
Type :
conf
DOI :
10.1109/WSC.2012.6465281
Filename :
6465281
Link To Document :
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