Maximum Likelihood Estimation for the Parameters of the Generalized Gompertz Distribution under Progressive Type-II Right Censored Samples

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dc.authorid0000-0002-6763-592Xen_US
dc.authorid0000-0003-1713-2862en_US
dc.contributor.authorDemir, Ecem
dc.contributor.authorSaracoglu, Bugra
dc.date.accessioned2021-01-27T09:35:01Z
dc.date.available2021-01-27T09:35:01Z
dc.date.issued2015en_US
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, it is obtained maximum likelihood estimators (MLEs) for the unknown parameters of the Generalized Gompertz (GG) distribution under progressive type II censored sample. The MLEs can not be obtained in closed forms. But, MLEs can be computed with Newton Raphson method. The Mean Square Error (MSE)s and biases of the ML estimators are computed using Monte Carlo simulation method.en_US
dc.identifier.citationDemir, E., Saracoglu, B. (2015). Maximum Likelihood Estimation for the Parameters of the Generalized Gompertz Distribution under Progressive Type-II Right Censored Samples. Journal of Selcuk University Natural and Applied Science, 4, (1), 41-48.en_US
dc.identifier.endpage48en_US
dc.identifier.issn2147-3781en_US
dc.identifier.issue1en_US
dc.identifier.startpage41en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/41181
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.subjectGeneralized Gompertz distributionen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectMonte Carlo simulation methoden_US
dc.titleMaximum Likelihood Estimation for the Parameters of the Generalized Gompertz Distribution under Progressive Type-II Right Censored Samplesen_US
dc.typeArticleen_US

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