Statistical Inference for Weibull Distribution Based on Competing Risk Data under Progressive Type-I Group Censoring

dc.authorid0000-0003-2466-4963en_US
dc.authorid0000-0003-3339-2955en_US
dc.authorid0000-0001-9642-872Xen_US
dc.authorid0000-0003-1529-0541en_US
dc.authorid0000-0002-7176-0176en_US
dc.contributor.authorUnal, Esra
dc.contributor.authorWu, Shou Jye
dc.contributor.authorBekci, Muhammet
dc.contributor.authorKinaci, Ismail
dc.contributor.authorKus, Coskun
dc.date.accessioned2021-02-02T09:51:21Z
dc.date.available2021-02-02T09:51:21Z
dc.date.issued2015en_US
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, statistical inference is discussed for Weibull distribution based on competing risks data under progressive Type-I group censoring. The maximum likelihood procedure is used to get point estimates and asymptotic confidence intervals for unknown parameters. Some simulations results are presented. A numerical example is also provided.en_US
dc.identifier.citationUnal, E., Wu, S. J., Bekci, M., Kinaci, İ., Kus, C. (2015). Statistical Inference for Weibull Distribution Based on Competing Risk Data under Progressive Type-I Group Censoring. Journal of Selcuk University Natural and Applied Science, 4, (1), 153-163.en_US
dc.identifier.endpage173en_US
dc.identifier.issn2147-3781en_US
dc.identifier.issue1en_US
dc.identifier.startpage164en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/41218
dc.identifier.volume4en_US
dc.language.isotren_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofJournal of Selcuk University Natural and Applied Scienceen_US
dc.relation.publicationcategoryMakale - Ulusal - Editör Denetimli Dergien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectCompeting risk dataen_US
dc.subjectMaximum likelihood methoden_US
dc.subjectMonte Carlo Simulationen_US
dc.subjectWeibull Distributionen_US
dc.titleStatistical Inference for Weibull Distribution Based on Competing Risk Data under Progressive Type-I Group Censoringen_US
dc.typeArticleen_US

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