Information-based probability density function for a quantity

被引:3
作者
Wöger, W [1 ]
机构
[1] Phys Tech Bundesanstalt, D-38116 Braunschweig, Germany
关键词
standard uncertainty; probability density function; state of knowledge about the measurand; principle of maximum information entropy; Bayes' theorem;
D O I
10.1023/B:METE.0000008438.11627.3f
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The modem approach to the evaluation of measurement data in metrology is based on the mathematical formulation of the simple idea that any kind of information that is relevant for inferencing the measurand generates a corresponding state of knowledge about the measurand. This paper briefly discusses the basic concept of probability density function (pdf), which is the mathematical description of the state of knowledge about the measurand corresponding to given information. Two ways to establish a pdf are described. The recommendations for data evaluation in the Guide to the Expression of Uncertainty in Measurement [1] rest on this concept.
引用
收藏
页码:815 / 823
页数:9
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