Modelling world energy security data from multinomial distribution by generalized linear model under different cumulative link functions

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dc.contributor.authorIyit, Neslihan
dc.date.accessioned2020-03-26T19:54:41Z
dc.date.available2020-03-26T19:54:41Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractEnergy security is one of the major components of energy sustainability in the world's energy performance. In this study, energy security is taken as an ordinal response variable coming from the multinomial distribution with the energy grade levels A, B, C, and D. Thereafter, the world energy security data is tried to be statistically modelled by using generalized linear model (GLM) approach for the ordinal response variable under different cumulative link functions. The cumulative link functions comparatively used in this study are cumulative logit, cumulative probit, cumulative complementary log-log, cumulative Cauchit, and cumulative negative log-log. In order to avoid a multicollinearity problem in the data structure, principal component analysis (PCA) technique is integrated with the GLM approach for the ordinal response variable. In this study, statistically, the importance of determining the best cumulative link function on the accuracy of parameter estimates, confidence intervals, and hypothesis tests in the GLM for the multinomially distributed response variable is highlighted. In terms of energy evaluation, by using cumulative logit as the best cumulative link function, energy sources consumptions, electricity productions from nuclear energy, natural gas, oil, coal, and hydroelectric, energy use per capita and energy imports are found to have statistically significant effects on energy security in the world's energy performance.en_US
dc.identifier.doi10.1515/chem-2018-0053en_US
dc.identifier.endpage385en_US
dc.identifier.issn2391-5420en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage377en_US
dc.identifier.urihttps://dx.doi.org/10.1515/chem-2018-0053
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36779
dc.identifier.volume16en_US
dc.identifier.wosWOS:000431899300010en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSCIENDOen_US
dc.relation.ispartofOPEN CHEMISTRYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEnergy securityen_US
dc.subjectmultinomial distributionen_US
dc.subjectprincipal component analysisen_US
dc.subjectgeneralized linear modelen_US
dc.subjectcumulative link functionen_US
dc.titleModelling world energy security data from multinomial distribution by generalized linear model under different cumulative link functionsen_US
dc.typeArticleen_US

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