DocumentCode
2776724
Title
Using nonparametric statistics in simulation analysis: a review
Author
Yücesan, Enver
Author_Institution
Eur. Inst. of Bus. Adm., INSEAD, Fontainebleau, France
fYear
1995
fDate
3-6 Dec 1995
Firstpage
141
Lastpage
146
Abstract
Techniques that make the minimum of assumptions about the underlying characteristics of the simulation output series are particularly useful for simulation analysis. This tutorial discusses robust non-parametric techniques with immediate applicability to such crucial steps in simulation analysis as sampling, experimental design, and output analysis. Algorithms are provided for various tasks
Keywords
design of experiments; nonparametric statistics; simulation; statistics; experimental design; nonparametric statistics; output analysis; robust nonparametric techniques; sampling; simulation analysis; simulation output series; Analytical models; Computational modeling; Data analysis; Design for experiments; Packaging; Robustness; Sampling methods; Statistical analysis; Stochastic processes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference Proceedings, 1995. Winter
Conference_Location
Arlington, VA
Print_ISBN
0-78033018-8
Type
conf
DOI
10.1109/WSC.1995.478716
Filename
478716
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