Using nonparametric statistics in simulation analysis: a review

Authors:
Enver Yücesan
Affiliations:
INSEAD, European Institute of Business Administration, Boulevard de Constance, 77305 Fontainebleau Cedex, France
Venue:
WSC '95 Proceedings of the 27th conference on Winter simulation
Year:
1995

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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.