Cargando…
Bayesian and Classical Inference for the Generalized Log-Logistic Distribution with Applications to Survival Data
The generalized log-logistic distribution is especially useful for modelling survival data with variable hazard rate shapes because it extends the log-logistic distribution by adding an extra parameter to the classical distribution, resulting in greater flexibility in analyzing and modelling various...
Autores principales: | Muse, Abdisalam Hassan, Mwalili, Samuel, Ngesa, Oscar, Almalki, Saad J., Abd-Elmougod, Gamal A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523281/ https://www.ncbi.nlm.nih.gov/pubmed/34671390 http://dx.doi.org/10.1155/2021/5820435 |
Ejemplares similares
-
A Flexible Bayesian Parametric Proportional Hazard Model: Simulation and Applications to Right-Censored Healthcare Data
por: Muse, Abdisalam Hassan, et al.
Publicado: (2022) -
Modelling the COVID-19 Mortality Rate with a New Versatile Modification of the Log-Logistic Distribution
por: Muse, Abdisalam Hassan, et al.
Publicado: (2021) -
Classical and Bayesian Inference of an Exponentiated Half-Logistic Distribution under Adaptive Type II Progressive Censoring
por: Xiong, Ziyu, et al.
Publicado: (2021) -
Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
por: Riad, Fathy H., et al.
Publicado: (2021) -
Mathematical search technique for detecting moving novel coronavirus disease (COVID-19) based on minimizing the weight function
por: Almalki, Saad J., et al.
Publicado: (2021)