Verification of Type A Evaluation Methods of Uncertainty Based on Monte Carlo Method
Journal Title: 河南科技大学学报（自然科学版） - Year 2018, Vol 39, Issue 5
Abstract
To solve the reliability problem of uncertainty evaluation method based on objective probability, by using the advantages of Monte Carlo method (MCM) suitable for computer simulation, the accuracy of three kinds of type A evaluation methods of uncertainty was verified.The simulation experimental results show that the range method with simple calculation process is better than the Bessel formula method and has more application advantages.Due to the wider range of evaluation data, the combined sample standard deviation method is more reliable and reasonable than the range method and the Bessel formula method, but the corresponding cost is higher.
Authors and Affiliations
Lingling YAN, Yinbao CHENG, Xiaohuai CHEN, Hongli LI, Chao FAN
Keywords
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