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| Application of Adaptive Monte Carlo Method on Measurement Uncertainty Evaluation |
| FANG Xing-hua,SONG Ming-shun,GU Long-fang,CHEN Yi-hua |
| China Jiliang University, Hangzhou, Zhejiang 310018, China |
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Abstract GUM Sup.1 is concerned with the propagation of distribution through a mathematical model of measurement as a basis for evaluation of uncertainty of measurement. It introduced the principles and the detail processes of Adaptive Monte Carlo method to carry out the propagation of distribution. Then two measurement models were provided, including linear model and non-linear model, to validate the applicative of Adaptive Monte Carlo method. And it proved that both models reached the reasonable evaluation results. At the same time, some problems such as how to choose proper Monte Carlo simulation sample M and numerical tolerance δ were still need to be further researched.
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Received: 16 March 2015
Published: 31 May 2016
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| Fund:Research on GPS information ontology interoperability Methods |
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2016, Vol. 37 
