Input modeling using quantile statistical methods

Authors:
Abhishek Gupta;Emanuel Parzen
Affiliations:
Texas A & M University, College Station, TX;Texas A & M University, College Station, TX
Venue:
WSC '04 Proceedings of the 36th conference on Winter simulation
Year:
2004

Citing 4
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Abstract

This paper applies quantile data analysis to input modeling in simulation. We introduce the use of Q I Q plots to identify suitable distributions fitting the data and comparison distribution P-P plots to test the fit. Two examples illustrate the utility of these quantile statistical methods for input modeling. Popular distribution fitting software often give confusing results, which is usually a set of distributions differing marginally in the test statistic value. The methods discussed in this paper can be used for further analysis of the software results.