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Uncertainty Evaluation for Big Data of Mass Standards in a Key Comparison

  • Xiaoping Ren
  • Fang Nan
  • Jian Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11342)

Abstract

This paper describes a key comparison of mass standards APMP.M.M-K5, conducted between nineteen participating members of the Asia-Pacific Metrology Programme (APMP). The application of the Monte Carlo method is used in the processing of the measurement result of APMP.M.M-K5, which is a kind of big data set. Monte Carlo method can get over the limitations that apply in certain cases to the method described in GUM.

Keywords

Big data Monte Carlo method Key comparison Reference value Degree of equivalence 

Notes

Acknowledgments

The grants that have been received from the National Key R&D Program of China (2016YFF0200102).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.National Center for Science and Technology EvaluationBeijingPeople’s Republic of China
  2. 2.National Institute of MetrologyBeijingPeople’s Republic of China

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