Reparameterized extended Maxwell regression: Properties, estimation and application

Prataviera, Fábio; Vila Gabriel, Roberto; Cancho, Vicente G.; Ortega, Edwin M. M.; Cordeiro, Gauss M.

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Campo DC	Valor	Idioma
dc.contributor.author	Prataviera, Fábio	-
dc.contributor.author	Vila Gabriel, Roberto	-
dc.contributor.author	Cancho, Vicente G.	-
dc.contributor.author	Ortega, Edwin M. M.	-
dc.contributor.author	Cordeiro, Gauss M.	-
dc.date.accessioned	2022-05-03T15:18:03Z	-
dc.date.available	2022-05-03T15:18:03Z	-
dc.date.issued	2022-02-24	-
dc.identifier.citation	PRATAVIERA, Fábio et al. Reparameterized extended Maxwell regression: properties, estimation and application. Communications in Statistics - Theory and Methods, 2022. DOI: https://doi.org/10.1080/03610926.2022.2042561.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/43604	-
dc.language.iso	Inglês	pt_BR
dc.publisher	Taylor & Francis	pt_BR
dc.rights	Acesso Restrito	pt_BR
dc.title	Reparameterized extended Maxwell regression: Properties, estimation and application	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Inferência bayesiana	pt_BR
dc.subject.keyword	Dados experimentais	pt_BR
dc.subject.keyword	inferência de probabilidade	pt_BR
dc.subject.keyword	Mediana	pt_BR
dc.subject.keyword	Modelo de regressão	pt_BR
dc.identifier.doi	https://doi.org/10.1080/03610926.2022.2042561	pt_BR
dc.relation.publisherversion	https://www.tandfonline.com/doi/abs/10.1080/03610926.2022.2042561	pt_BR
dc.description.abstract1	We propose a reparameterized regression for the median of an extended Maxwell distribution that can be used when the response variable has a positive support. We obtain some structural properties of the distribution. The parameter estimates are obtained by maximum likelihood and Bayesian methods. Some influence measures and quantile residuals are defined. Several Monte Carlo simulations are reported for inference purposes. The new regression is applied to an experimental data set.	pt_BR
dc.identifier.orcid	https://orcid.org/ 0000-0001-8190-1086	pt_BR
dc.identifier.orcid	https://orcid.org/ 0000-0003-1073-0114	pt_BR
dc.identifier.orcid	https://orcid.org/ 0000-0003-3999-7402	pt_BR
dc.identifier.orcid	https://orcid.org/ 0000-0002-3052-6551	pt_BR
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