dc.creatorAndrade, Thiago A. N. de
dc.creatorBourguignon, Marcelo
dc.creatorCordeiro, Gauss M.
dc.date2022-10-31T20:25:06Z
dc.date2022-10-31T20:25:06Z
dc.date2016
dc.date.accessioned2023-09-04T14:08:49Z
dc.date.available2023-09-04T14:08:49Z
dc.identifierANDRADE, T. et al. The exponentiated generalized extended exponential distribution. Journal of Data Science, v. 14, p. 393-414, 2016. Disponível em:https://www.researchgate.net/publication/303208805_The_exponentiated_generalized_extended_exponential_distribution, Acesso em: 07 dez. 2017
dc.identifier1680-743X
dc.identifierhttps://repositorio.ufrn.br/handle/123456789/49655
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8603969
dc.descriptionWe introduce and study a new four-parameter lifetime model named the exponentiated generalized extended exponential distribution. The proposed model has the advantage of including as special cases the exponential and exponentiated exponential distributions, among others, and its hazard function can take the classic shapes: bathtub, inverted bathtub, increasing, decreasing and constant, among others. We derive some mathematical properties of the new model such as a representation for the density function as a double mixture of Erlang densities, explicit expressions for the quantile function, ordinary and incomplete moments, mean deviations, Bonferroni and Lorenz curves, generating function, R´enyi entropy, density of order statistics and reliability. We use the maximum likelihood method to estimate the model parameters. Two applications to real data illustrate the flexibility of the proposed model.
dc.languageen
dc.publisherJournal of Data Science
dc.rightsAcesso Aberto
dc.subjectErlang distribution
dc.subjectExtended exponential distribution
dc.subjectHazard rate function
dc.subjectLifetime distribution
dc.subjectMoments
dc.titleThe exponentiated generalized extended exponential distribution
dc.typearticle


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