Fagbamigbe, A. F.Basele, G. K.Makubate, B.Oluyede, B. O.2026-03-0620192714-4704ui_art_fagbamigbe_application_2019Journal of the Nigerian Society of Physical Sciences 1(1), pp. 12-19https://repository.ui.edu.ng/handle/123456789/13069In 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)enGeneralized DistributionExponentiated log-logistic DistributionWeibull DistributionSurvival AnalysisArticle