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自适应蒙特卡洛法在自上而下评定测量不确定度中的应用 被引量:1

Adaptive Monte Carlo method for top-down assessment of measurement uncertainty
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摘要 目的探讨自适应蒙特卡洛法(aMCM)用于确认自上而下方法评定测量不确定度(简称不确定度)的可行性。方法用aMCM确认临床实验室基于自上而下方法评定不确定度的效果,若aMCM与自上而下方法评定结果的绝对差值低于规定的数值容差,则确认通过;利用MatLab软件编制aMCM确认程序。结果aMCM与自上而下方法评定结果的绝对差值低于规定的数值容差,自上而下评定不确定度的方法通过了aMCM的确认。结论建立的aMCM可用于自上而下不确定度评定结果的确认。 Objective To investigate the feasibility of adaptive Monte Carlo method(aMCM)for top-down uncertainty assessment.Methods In case of uncertainty assessment based on top-down assessment in clinical laboratories,aMCM was used for verification.If the absolute difference between aMCM and top-down assessment results was less than the specified numerical tolerance,the verification was passed.The aMCM verification program was developed by MatLab software.Results The absolute difference between the results evaluated by aMCM and the top-down assessment was less than the specified numerical tolerance,and the top-down assessment was verified by aMCM.Conclusions The established aMCM can be used to verify the uncertainty evaluation results of the top-down assessment.
作者 王志方 李亚博 梁曼 安舒琪 韩艳林 WANG Zhifang;LI Yabo;LIANG Man;AN Shuqi;HAN Yanlin(Reference Laboratory,Autobio Diagnostics Co.,Ltd.,Zhengzhou 450016,Henan,China)
出处 《检验医学》 CAS 2022年第4期382-386,共5页 Laboratory Medicine
关键词 蒙特卡洛法 自适应蒙特卡洛法 自上而下方法 测量不确定度 Monte Carlo method Adaptive Monte Carlo method Top-down Measurement uncertainty
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