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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Detalles Bibliográficos
Autores principales: Tu, Jiayi, Gui, Wenhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597091/
https://www.ncbi.nlm.nih.gov/pubmed/33286799
http://dx.doi.org/10.3390/e22091032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597091/
https://www.ncbi.nlm.nih.gov/pubmed/33286799
http://dx.doi.org/10.3390/e22091032

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