复合测量误差分布的蒙特卡罗仿真

Monte-Carlo Simulation for Composite Measurement Error Distribution

针对用传统方法计算复合测量误差分布十分困难的情况,提出了基于蒙特卡罗法的复合测量量的误差分布的统计处理方法。仿真分析表明,采用蒙特卡罗和传统的方法统计的复合测量函数的均方差基本相同,相对于传统的统计方法,蒙特卡罗法不用考虑复合测量函数的逆变换,可以利用计算机直接仿真具有特定分布的随机误差,能够很快统计出复合测量随机误差的分布特性,具有一定的推广价值。

Monte Carlo simulation method is put forward for solving the difficulty of traditional composite measurement error distribution calculation methods.Simulation results prove that their root-mean square deviation are same,but the Monte-Carlo simulation does not need to calculate reverse transform.It can calculate random error distribution by computer and has generalization.