Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)

Analysis and Research about Standard Drafting Units based on Multidimensional Descriptive Statistics

Authors
Yunpeng Chen, Ming Zhang, Jingjing Han, Shiyuan Hong
Corresponding Author
Yunpeng Chen
Available Online March 2018.
DOI
10.2991/aetr-17.2018.5How to use a DOI?
Keywords
Standardization; National standards; Drafting units; Statistics of standard category
Abstract

This article starts with solving problems on statistical analysis algorithm and tool study of standard drafting units. It shows the quantity relationship between standard drafting units and national standards by doing multidimensional descriptive statistics in terms of Standard Category, Establish and Revise Standards. Standard Property and so on, which helps readers understand Standardization better and helps relevant staff work on follow-up study. We write this paper in hopes that it can contribute to other statistical analysis of standard drafting units.

Copyright
© 2018, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-489-7
ISSN
2352-5401
DOI
10.2991/aetr-17.2018.5How to use a DOI?
Copyright
© 2018, 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  - Yunpeng Chen
AU  - Ming Zhang
AU  - Jingjing Han
AU  - Shiyuan Hong
PY  - 2018/03
DA  - 2018/03
TI  - Analysis and Research about Standard Drafting Units based on Multidimensional Descriptive Statistics
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 20
EP  - 24
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.5
DO  - 10.2991/aetr-17.2018.5
ID  - Chen2018/03
ER  -