Application of Odd Lomax log-logistic distribution to cancer data

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dc.contributor.authorKailembo, Benson Benedicto
dc.contributor.authorGadde, Rao Srinivasa
dc.contributor.authorKirigiti, Peter Josephat
dc.date.accessioned2024-08-19T06:48:02Z
dc.date.available2024-08-19T06:48:02Z
dc.date.issued2024-03
dc.descriptionFull- text article. Also available at https://doi.org/10.1016/j.heliyon.2024.e27376
dc.description.abstractThe effectiveness of the parental distribution is modified in this article by adding flexibility, allowing it to capture all characteristics of the provided real-world data sets. This is accomplished by using the T-X class of distributions to generalize the parental distribution. Odd Lomax loglogistic distribution or OLLLD in short, is the name of the generalized parental distribution. The fundamental statistical properties of OLLLD are explicitly expressed. The maximum likelihood estimation approach is used to estimate the unidentified OLLLD parameters. In order to investigate the fit of the approach employed in estimating the parameters of OLLLD, the data are generated and an investigation done. Again, the ability of OLLLD is evaluated by fitting it to the real survival time data set of breast cancer.
dc.identifier.citationKailembo, B. B., Gadde, S. R., & Kirigiti, P. J. (2024). Application of Odd Lomax log-logistic distribution to cancer data. Heliyon, 10(6), 1-17.
dc.identifier.doi10.1016/j.heliyon.2024.e27376
dc.identifier.otherDOI: https://doi.org/10.1016/j.heliyon.2024.e27376
dc.identifier.urihttps://repository.udom.ac.tz/handle/20.500.12661/4743
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofHeliyon
dc.subjectOdd Lomax
dc.subjectLog-logistic distribution
dc.subjectCancer data
dc.subjectMaximum likelihood estimation
dc.subjectQuantile function
dc.subjectBreast cancer
dc.titleApplication of Odd Lomax log-logistic distribution to cancer data
dc.typeArticle
oaire.citation.issue6
oaire.citation.volume10
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