Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

ECM algorithm of Parametric Estimation in Constant Stress Accelerated Life for Mixture Weibull Distribution with Type II Censoring

Authors
Hui Jiang
Corresponding Author
Hui Jiang
Available Online July 2015.
DOI
https://doi.org/10.2991/csic-15.2015.67How to use a DOI?
Keywords
Mixed weibull distribution, EM algorithm, ECM algorithm, Censor sample data
Abstract

Mixed Weibull distributions play an important role in life time data analysis. In this paper, we employ the ECM algorithm to obtain the ML estimation for the mixed Weibull model in the constant stress accelerated life time test with type II censoring. The iteration formulas are given in the paper. Simulations are also made to show the Performance of estimation.

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 Computer Science and Intelligent Communication
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-84-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/csic-15.2015.67How 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  - Hui Jiang
PY  - 2015/07
DA  - 2015/07
TI  - ECM algorithm of Parametric Estimation in Constant Stress Accelerated Life for Mixture Weibull Distribution with Type II Censoring
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 279
EP  - 282
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.67
DO  - https://doi.org/10.2991/csic-15.2015.67
ID  - Jiang2015/07
ER  -