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Application of the Exponentiated Log-Logistic Weibull Distribution to Censored Data

Article scientifique 2019 Anglais

Résumé

In a recent paper, a new model called the Exponentiated Log-Logistic Weibull (ELLoGW) distribution with applications to reliability, survival analysis and income data was proposed. In this study, we applied the recently developed ELLoGW model to a wide range of censored data. We found that the ELLoGW distribution is a very competitive model for describing censored observations in life-time reliability problems such as survival analysis. This work shows that in certain cases, the ELLoGW distribution performs better than other parametric model such as the Log-Logistic Weibull, Exponentiated Log-Logistic Exponential, Log-Logistic Exponential distributions and the non-nested Gamma-Dagum (GD).

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Fagbamigbe, A., Basele, G., Makubate, B., Oluyede, B. (2019). Application of the Exponentiated Log-Logistic Weibull Distribution to Censored Data. https://doi.org/10.46481/jnsps.2019.4

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Auteur(s)

Adeniyi Francis Fagbamigbe Gomolemo K. Basele Boikanyo Makubate Broderick O. Oluyede

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