基于贝叶斯理论的不确定度评定  

Evaluation of uncertainty based on Bayesian theory

作　　者：陈小昊[1] 陈晓怀[1] 李高峰[1] 

机构地区：[1]合肥工业大学仪器科学与光电工程学院,合肥230009

出　　处：《黑龙江大学工程学报》2012年第2期116-119,共4页Journal of Engineering of Heilongjiang University

基　　金：国家自然科学基金项目(50675057)

摘　　要：传统的测量不确定评定是A类、B类评定,与这两类评定方法不同,提出了一种基于贝叶斯理论的测量不确定度评定方法。此方法综合了历史信息和当前样本信息,通过建立贝叶斯模型得出后验分布,从而进行测量不确定度评定。通过实例说明,贝叶斯评定比A类评定更为合理。The traditional evaluation of uncertainty in measurement is type A and type B evaluation, a new method for evaluation of uncertainty in measurement based on Bayesian theory are proposed which is different from the two evalution methods. In order to obtain posterior distribution this method combines historical information and the current sample information through the establishment of the Bayesian model , so the evaluation of uncertainty in measurement can be carried out. Bayesian evaluation is more reasonable than type A evaluation with the examole.

关 键 词：贝叶斯模型 测量不确定度 A类评定 贝叶斯评定 

分 类 号：TH701[机械工程—仪器科学与技术]