| 基于贝叶斯理论的测量不确定度A类评定 |
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| 引用本文： | 薄晓静,陈晓怀. 基于贝叶斯理论的测量不确定度A类评定[J]. 工业计量, 2004, 14(4): 15-16 |
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| 作者姓名： | 薄晓静 陈晓怀 |
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| 作者单位： | 合肥工业大学,仪器仪表学院,安徽,合肥,230009 |
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| 基金项目： | 国家自然科学基金(50275047) |
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| 摘 要： | 文章介绍了贝叶斯理论，并利用此理论对测量不确定度A类评定进行分析，与基于经典统计方法的不确定度A类评定相比，该方法能充分利用历史测量数据所提供的信息，因此评定时信息量大，使评定更加合理。最后通过实例分析说明了基于贝叶斯理论的不确定度A类评定的合理性和优越性。
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| 关 键 词： | 贝叶斯理论 测量不确定度 A类评定 联合密度函数 |
| 文章编号： | 1002-1183(2004)04-0015-02 |
| 修稿时间： | 2004-01-12 |
Type A evaluation of measurement uncertainty based on Bayesion theory |
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| BO Xiao-jing,CHEN Xiao-huai. Type A evaluation of measurement uncertainty based on Bayesion theory[J]. Industrial Measurement, 2004, 14(4): 15-16 |
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| Authors: | BO Xiao-jing CHEN Xiao-huai |
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| Abstract: | This paper introduces Bayesian theory, and uses it to analyse type A evaluation of uncertainty in measurement. By contrast with classic statistics methods, it can fully utilize the information of the history measurement data. Due to the much more and useful information, it makes the evaluation of uncertainty be more rational. Moreover, this paper proves the rationality and advantage of type A evaluation of uncertainty in measurement based on Bayesian theory with an example. |
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| Keywords: | Bayesian model uncertainty in the measurement type A of evaluation |
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