On the Characterizations of Chen’s Two-Parameter Exponential Power Life-Testing Distribution
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Atlantis Press
2018-09-01
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| Series: | Journal of Statistical Theory and Applications (JSTA) |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25903295/view |
| Summary: | 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. |
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| ISSN: | 1538-7887 |