Nonparametric techniques in simulation analysis: a tutorial

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 nonparametric techniques with immediate applicability to such crucial steps in simulation analysis as sampling, experimental design, and output analysis. Algorithms are provided for various tasks.