Comparison Between Classical GUM and Bayesian Uncertainty Estimation Approaches in SPRT Calibrations

被引：0
|
作者：
del Campo, D. [1 ]
Garcia, C. [1 ]
Ruiz, S. [1 ]
机构：
[1] Ctr Espanol Metrol, Tres Cantos 28760, Spain
来源：
TEMPERATURE: ITS MEASUREMENT AND CONTROL IN SCIENCE AND INDUSTRY, VOL 8 | 2013年 / 1552卷
关键词：
Uncertainty; SPRT; calibration; GUM; frequentist approach; Bayes theorem; Bayesian approach; Monte Carlo method;
D O I：
10.1063/1.4819581
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
In this paper a comparison between the results of an uncertainties assessment, using different approaches, of the calibration of Standard Platinum Resistance Thermometers (SPRT) in fixed points are examined. Three different approaches are selected: classical GUM, propagation of probability distribution functions using Monte Carlo method, and the Bayesian approach. They are applied to the mathematical model proposed in the document "Uncertainties in the Realisation of the SPRT subranges of the ITS-90", prepared by the Working Group 3 of the Consultative Committee for Thermometry, and their results are discussed.
引用
收藏
页码：439 / 444
页数：6
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