Journal of Statistical Theory and Applications

Volume 17, Issue 3, September 2018, Pages 393 - 407

On the Characterizations of Chen’s Two-Parameter Exponential Power Life-Testing Distribution

Authors
M. Shakil1, M. Ahsanullah2, B. M. Golam Kibria3
1Miami Dade College, Hialeah, FL, USA
2Rider University, Lawrenceville, New Jersey, USA
3Florida International University, Miami, FL, USA
Received 23 June 2017, Accepted 9 February 2018, Available Online 30 September 2018.
DOI
10.2991/jsta.2018.17.3.1How to use a DOI?
Keywords
60E05; 62E10; 62E15; 62G30
Abstract

Characterizations of probability distributions play important roles in probability and statistics. Before a particular probability distribution model is applied to fit the real world data, it is essential to confirm whether the given probability distribution satisfies the underlying requirements by its characterization. A probability distribution can be characterized through various methods. In this paper, we provide the characterizations of Chen’s two-parameter exponential power life-testing distribution by truncated moment.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
Journal of Statistical Theory and Applications
Volume-Issue
17 - 3
Pages
393 - 407
Publication Date
2018/09/30
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.2018.17.3.1How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - M. Shakil
AU  - M. Ahsanullah
AU  - B. M. Golam Kibria
PY  - 2018
DA  - 2018/09/30
TI  - On the Characterizations of Chen’s Two-Parameter Exponential Power Life-Testing Distribution
JO  - Journal of Statistical Theory and Applications
SP  - 393
EP  - 407
VL  - 17
IS  - 3
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2018.17.3.1
DO  - 10.2991/jsta.2018.17.3.1
ID  - Shakil2018
ER  -