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Bayesian Inference for the Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring
Incomplete data are unavoidable for survival analysis as well as life testing, so more and more researchers are beginning to study censoring data. This paper discusses and considers the estimation of unknown parameters featured by the Kumaraswamy distribution on the condition of generalized progress...
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| Published in: | Entropy (Basel) |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7597091/ https://ncbi.nlm.nih.gov/pubmed/33286799 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22091032 |
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