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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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2019
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| LEADER | 00000njm a2000000a 4500 | ||
|---|---|---|---|
| 001 | oai:repository.ui.edu.ng:123456789/13069 | ||
| 042 | |a dc | ||
| 720 | |a Fagbamigbe, A. F. |e author | ||
| 720 | |a Basele, G. K. |e author | ||
| 720 | |a Makubate, B. |e author | ||
| 720 | |a Oluyede, B. O. |e author | ||
| 260 | |c 2019 | ||
| 520 | |a 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) | ||
| 024 | 8 | |a 2714-4704 | |
| 024 | 8 | |a ui_art_fagbamigbe_application_2019 | |
| 024 | 8 | |a Journal of the Nigerian Society of Physical Sciences 1(1), pp. 12-19 | |
| 024 | 8 | |a https://repository.ui.edu.ng/handle/123456789/13069 | |
| 653 | |a Generalized Distribution | ||
| 653 | |a Exponentiated log-logistic Distribution | ||
| 653 | |a Weibull Distribution | ||
| 653 | |a Survival Analysis | ||
| 245 | 0 | 0 | |a Application of the exponentiated log-logistic Weibull distribution to censored data |