摘要
This paper discusses a new nonparametric statistical method and applies it to simulation output analysis. This can be used to overcome the limitations of the traditional methods. The steps of making bootstrap interval estimation are given. The simulation results for the examples show that the bootstrap method can produce the valid confidence intervals and improve the simulation precision.
This paper discusses a new nonparametric statistical method and applies it to simulation output analysis. This can be used to overcome the limitations of the traditional methods. The steps of making bootstrap interval estimation are given. The simulation results for the examples show that the bootstrap method can produce the valid confidence intervals and improve the simulation precision.
