Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)

Analysis of the Influence of the Ability Standard Variance and the Uniformity of the Sample on the Precision of the Comparison Test

Authors
Lei Geng, Jing Liu
Corresponding Author
Lei Geng
Available Online August 2017.
DOI
10.2991/itim-17.2017.35How to use a DOI?
Keywords
Ability Standard Variance, Uniformity of the Sample, Precision Degree of the Comparison Test
Abstract

According to the case of "2016 year highway engineering test of asphalt penetration and softening point test", we use the mathematical statistical analysis of the ability standard variance and sample uniformity; find the correlation effects of test precision. By comparing the similar data released recently by CNAS, we evaluate the general level in the transportation industry. It validates the rationality of the repeatability and reproducibility of penetration and softening point test, provides reliable validation data for the revision of industry standards.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
August 2017
ISBN
10.2991/itim-17.2017.35
ISSN
1951-6851
DOI
10.2991/itim-17.2017.35How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lei Geng
AU  - Jing Liu
PY  - 2017/08
DA  - 2017/08
TI  - Analysis of the Influence of the Ability Standard Variance and the Uniformity of the Sample on the Precision of the Comparison Test
BT  - Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
PB  - Atlantis Press
SP  - 141
EP  - 145
SN  - 1951-6851
UR  - https://doi.org/10.2991/itim-17.2017.35
DO  - 10.2991/itim-17.2017.35
ID  - Geng2017/08
ER  -