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

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 ELLoG...

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Bibliographic Details
Published in:	Journal of Nigerian Society of Physical Sciences Vol. 1; no. 1; pp. 12 - 19
Main Authors:	Fagbamigbe, Adeniyi F., Basele, Gomolemo K., Makubate, Boikanyo, Oluyede, Broderick O.
Format:	Journal Article
Language:	English
Published:	Nigerian Society of Physical Sciences 01-10-2019
Subjects:	Exponentiated log-logistic Distribution Generalized Distribution Survival Analysis Weibull Distribution
Online Access:	Get full text
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Summary:	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).
ISSN:	2714-2817 2714-4704
DOI:	10.46481/jnsps.2019.4