中文摘要：

针对序贯分支仿真筛选实验中静态效应验证方法（V—SE）实验效率低且在仿真因子较多时实验效力难以保证的两方面不足，提出了基于动态效应（V—DE）和基于不重要因子（V—UF）的两种验证方法，V—DE在元模型估计中采用饱和设计并在配对检验中使用动态效应检验统计量，V—uF仅对不重要因子的两组极端水平进行实验而不需估计元模型．蒙特卡罗仿真的三种方法对比实验以及基于实际背景仿真案例的应用表明，V-DE和V—uF在获得理想实验效力的同时极大提高了仿真实验的效率，大大降低了仿真工作者的实验成本，具有良好的实际应用价值．

英文摘要：

To address the deficiencies of static-effect validation method （V-SE）, which exhibits a low efficiency and is difficult to provide the efficacy guaranty for a large-scale simulation system, this paper develops two streamlined methods, called V-DE and V-UF, for the validation of sequential-bifurcation screening procedure. V-DE employs saturated design for the estimation of a metamodel, and exploit a test statistic based on dynamic effect of unimportant inputs. V-UF simply experiments with a simulation model for the two extreme input combinations, without the need for estimating a metamodel. The comparative analysis of Monte Carlo simulations, and the corresponding application results from a real-world case study indicate that the proposed methods indeed greatly reduce replicates while obtaining desired statistical precision. Both methods can handle qualitative factors of a simulation model successfully.