Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Based Data Analysis of Automobile Reliability

Authors
Zhao Xu, Meng-rou Tang
Corresponding Author
Zhao Xu
Available Online November 2015.
DOI
10.2991/itms-15.2015.245How to use a DOI?
Keywords
Automobile; reliability; data analysis
Abstract

In this paper, the point estimate method (including the general expectation estimation method and estimation of population variance method) interval and parameter estimation method for the reliability of auto parts for data analysis. Results show that the total expected estimation method is simple, but its accuracy is related to sample size; the overall variance estimation method is better than the overall expectation estimation method accuracy of estimation can be obtained, and the overall variance unbiased value; and the use of parametric interval estimation method is relatively accurate, but the calculation process is relatively complex.

Copyright
© 2015, 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 2015 International Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/itms-15.2015.245
ISSN
2352-538X
DOI
10.2991/itms-15.2015.245How to use a DOI?
Copyright
© 2015, 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  - Zhao Xu
AU  - Meng-rou Tang
PY  - 2015/11
DA  - 2015/11
TI  - Based Data Analysis of Automobile Reliability
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 1015
EP  - 1018
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.245
DO  - 10.2991/itms-15.2015.245
ID  - Xu2015/11
ER  -