Comparison of different estimation methods for the inverse weighted Lindley distribution

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dc.contributor.authorBalav, İklim Gedik
dc.contributor.departmentOthertr_TR
dc.contributor.facultyOthertr_TR
dc.date.accessioned2022-12-26T08:22:08Z
dc.date.available2022-12-26T08:22:08Z
dc.date.issued2021
dc.description.abstractIn this paper, different estimation methods are considered for the parameters of the inverse weighted Lindley (IWL) distribution introduced by Ramos et al.(2019). Parameters of the IWL are estimated by the method of maximum likelihood (ML), least squares (LS), weighted least squares (WLS), Cram´er-von Mises (CVM) and Anderson Darling (AD). The performances of the estimators are compared using Monte Carlo simulation study via bias, mean square error and deficiency (Def) criteria. Finally, a real data set is analyzed for illustrative purposes.tr_TR
dc.description.indexTrdizintr_TR
dc.identifier.endpage1098tr_TR
dc.identifier.issn/e-issn1303-5991
dc.identifier.issue2tr_TR
dc.identifier.startpage1085tr_TR
dc.identifier.urihttps://doi.org/10.31801/cfsuasmas.915412tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/86431
dc.identifier.volume70tr_TR
dc.language.isoentr_TR
dc.publisherAnkara Universitesitr_TR
dc.relation.isversionof10.31801/cfsuasmas.915412tr_TR
dc.relation.journalCommunications, Series A1:Mathematics and Statisticstr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıtr_TR
dc.subjectParameter estimation, Bias, efficiency, Monte Calo simulation, Inverse weighted Lindley distributiontr_TR
dc.titleComparison of different estimation methods for the inverse weighted Lindley distributiontr_TR
dc.typeArticletr_TR

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Cilt:70 Sayı:02 (2021)