Title:
Explaining Ovarian Cancer Data with Increasing Hazard Model

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dc.contributor.authorBrijesh P. Singh
dc.contributor.authorUtpal Dhar Das
dc.contributor.authorSandeep Singh
dc.contributor.authorMansour Lotayif
dc.date.accessioned2026-02-07T10:44:36Z
dc.date.issued2021
dc.description.abstractA single parameter model is developed in this study and used to understand ovarian cancer data. Its several mathematical and statistical properties such as the hazard rate function, moments, moment generating function, mean residual life function, renyi entropy, Bonferroni and Lorenz curve along with order statistics are derived. Maximum likelihood method is used to estimate the parameter. Also the importance of proposed model is checked for engineering data. Analysis reveals that the proposed model has potential to provide a better explanation than several existing lifetime models © 2021 NSP Natural Sciences Publishing Cor.
dc.identifier.doi10.18576/amis/150511
dc.identifier.issn19350090
dc.identifier.urihttps://doi.org/10.18576/amis/150511
dc.identifier.urihttps://dl.bhu.ac.in/bhuir/handle/123456789/38433
dc.publisherNatural Sciences Publishing
dc.subjectBonferroni and lorenz curve
dc.subjectK-s
dc.subjectMgf
dc.subjectMrlf
dc.subjectOverian cancer
dc.subjectRenyi entropy
dc.titleExplaining Ovarian Cancer Data with Increasing Hazard Model
dc.typePublication
dspace.entity.typeArticle

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