Title :
Using nonparametric statistics in simulation analysis: a review
Author_Institution :
Eur. Inst. of Bus. Adm., INSEAD, Fontainebleau, France
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;
Conference_Titel :
Simulation Conference Proceedings, 1995. Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-78033018-8
DOI :
10.1109/WSC.1995.478716
