The logit exponentiated power exponential regression with applications

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dc.creatorPrataviera, Fábio
dc.creatorBatista, Aline Martineli
dc.creatorOrtega, Edwin M. M.
dc.creatorCordeiro, Gauss M.
dc.creatorSilva, Bruno Montoani
dc.date.accessioned2022-02-07T19:43:04Z
dc.date.available2022-02-07T19:43:04Z
dc.date.issued2021-06
dc.description.abstractWe introduce a new distribution, called the logit exponentiated power exponential, defined on the unit interval. Explicit expansions are derived for its moments. Also, we propose a regression based on this distribution with two systematic components, which can provide better fits than the beta and simplex regressions. Its parameters are estimated by maximum likelihood. Some simulations investigate the accuracy of the estimates. The usefulness of the new models is proved by means of three real data sets.pt_BR
dc.identifier.citationPRATAVIERA, F. et al. The logit exponentiated power exponential regression with applications. Annals of Data Science, [S. I.], 2021. DOI: https://doi.org/10.1007/s40745-021-00347-8.pt_BR
dc.identifier.urihttps://repositorio.ufla.br/handle/1/49192
dc.identifier.urihttps://doi.org/10.1007/s40745-021-00347-8pt_BR
dc.languageenpt_BR
dc.publisherSpringer Naturept_BR
dc.rightsopenAccesspt_BR
dc.sourceAnnals of Data Sciencept_BR
dc.subjectBeta regressionpt_BR
dc.subjectExponentiated power exponential distributionpt_BR
dc.subjectLikelihood inferencept_BR
dc.subjectResidual analysispt_BR
dc.subjectRegressão betapt_BR
dc.subjectDistribuição exponencialpt_BR
dc.subjectInferência estatísticapt_BR
dc.subjectAnálise residualpt_BR
dc.titleThe logit exponentiated power exponential regression with applicationspt_BR
dc.typeArtigopt_BR

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