Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/5235
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dc.contributor.authorFastel Chipepaen_US
dc.contributor.authorBroderick Oluyedeen_US
dc.contributor.authorDivine Wandukuen_US
dc.contributor.authorThatayaone Moakofien_US
dc.date.accessioned2022-11-24T15:01:03Z-
dc.date.available2022-11-24T15:01:03Z-
dc.date.issued2021-08-27-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/5235-
dc.description.abstractWe develop a new class of distributions, namely, the exponentiated half logistic-Topp-Leone-G power series (EHL-TL-GPS) class of distributions. We present some special classes in the proposed distribution. Structural properties were also derived including moments, entropy and maximum likelihood estimates. We conducted a simulation study to evaluate the consistency of the maximum likelihood estimates. We also present two real data examples to illustrate the applicability of the new class of distributions. The proposed model performs better than several non-nested models on selected data sets.en_US
dc.language.isoenen_US
dc.publisherSpringer, Chamen_US
dc.relation.ispartofStudies in Systems, Decision and Control book seriesen_US
dc.subjectTopp-Leone-G distributionen_US
dc.subjectHalf Logistic-G distributionen_US
dc.subjectPower seriesen_US
dc.subjectPoisson distributionen_US
dc.subjectGeometric distributionen_US
dc.subjectMaximum likelihood estimationen_US
dc.titleThe Exponentiated Half Logistic-Topp-Leone-G Power Series Class of Distributions: Model, Properties and Applicationsen_US
dc.typebook parten_US
dc.relation.publicationMethods of Mathematical Modelling and Computation for Complex Systemsen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-77169-0_14-
dc.contributor.affiliationMidlands State Universityen_US
dc.contributor.affiliationBotswana International University of Science and Technologyen_US
dc.contributor.affiliationGeorgia Southern University, Statesboro, Georgiaen_US
dc.contributor.affiliationBotswana International University of Science and Technologyen_US
dc.relation.isbn978-3-030-77169-0en_US
dc.description.startpage341en_US
dc.description.endpage374en_US
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item.openairetypebook part-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
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