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

Adeniyi F. Fagbamigbe; Gomolemo K. Basele; Boikanyo Makubate; Broderick O. Oluyede

doi:10.46481/jnsps.2019.4

Authors

Adeniyi F. Fagbamigbe
[email protected]
Department of Epidemiology and Medical Statistics, College of Medicine, Faculty of Public Health, University of Ibadan, Nigeria
Gomolemo K. Basele Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technology, Palapye, BW
Boikanyo Makubate Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technology, Palapye, BW
Broderick O. Oluyede Department of Mathematical Sciences, Georgia Southern University, Statesboro, GA, 30460, USA

Keywords:

Generalized Distribution, Exponentiated log-logistic Distribution, Weibull Distribution, Survival Analysis.

Abstract

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).

Dimensions

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