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dc.contributor.authorPant, Mohan
dc.contributor.authorHeadrick, Todd C.
dc.date.accessioned2017-02-15T00:21:34Z
dc.date.available2017-02-15T00:21:34Z
dc.date.issued2015
dc.identifier.citationPublished in Communications in Statistics - Simulation and Computation 46(2):1611-1627, 2015en_US
dc.identifier.issn0361-0918 (Print)
dc.identifier.issn1532-4141 (Online)
dc.identifier.urihttp://hdl.handle.net/10106/26460
dc.description.abstractA characterization of Burr Type III and Type XII distributions based on the method of percentiles (MOP) is introduced and contrasted with the method of (conventional) moments (MOM) in the context of estimation and fitting theoretical and empirical distributions. The methodology is based on simulating the Burr Type III and Type XII distributions with specified values of medians, inter-decile ranges, left-right tail-weight ratios, tail-weight factors, and Spearman correlations. Simulation results demonstrate that the MOP-based Burr Type III and Type XII distributions are substantially superior to their (conventional) MOM-based counterparts in terms of relative bias and relative efficiency.
dc.language.isoen_USen_US
dc.publisherTaylor & Francisen_US
dc.subjectMethod of (conventional) moments (MOM)en_US
dc.subjectMethod of percentiles (MOP)en_US
dc.subjectMonte Carlo simulationen_US
dc.titleA characterization of the Burr Type III and Type XII distributions through the method of percentiles and the Spearman correlationen_US
dc.typeAccepted author versionen_US
dc.publisher.departmentDepartment of Curriculum and Instruction, The University of Texas at Arlingtonen_US
dc.identifier.externalLinkDescriptionThe original publication is available at the Article DOIen_US
dc.rights.licensePublished open access through Taylor & Francis
dc.identifier.doihttp://dx.doi.org/10.1080/03610918.2015.1048878


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