The McDonald extended distribution: properties and applications

dc.creatorCordeiro, Gauss M.
dc.creatorHashimoto, Elizabeth M.
dc.creatorOrtega, Edwin M. M.
dc.creatorPascoa, Marcelino A. R.
dc.date.accessioned2013-11-05T12:29:39Z
dc.date.accessioned2018-07-04T16:13:54Z
dc.date.available2013-11-05T12:29:39Z
dc.date.available2018-07-04T16:13:54Z
dc.date.created2013-11-05T12:29:39Z
dc.date.issued2012
dc.identifierASTA-ADVANCES IN STATISTICAL ANALYSIS, NEW YORK, v. 96, n. 3, supl. 1, Part 2, pp. 409-433, JUL, 2012
dc.identifier1863-8171
dc.identifierhttp://www.producao.usp.br/handle/BDPI/41348
dc.identifier10.1007/s10182-011-0180-3
dc.identifierhttp://dx.doi.org/10.1007/s10182-011-0180-3
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1633183
dc.description.abstractWe study a five-parameter lifetime distribution called the McDonald extended exponential model to generalize the exponential, generalized exponential, Kumaraswamy exponential and beta exponential distributions, among others. We obtain explicit expressions for the moments and incomplete moments, quantile and generating functions, mean deviations, Bonferroni and Lorenz curves and Gini concentration index. The method of maximum likelihood and a Bayesian procedure are adopted for estimating the model parameters. The applicability of the new model is illustrated by means of a real data set.
dc.languageeng
dc.publisherSPRINGER
dc.publisherNEW YORK
dc.relationASTA-ADVANCES IN STATISTICAL ANALYSIS
dc.rightsCopyright SPRINGER
dc.rightsrestrictedAccess
dc.subjectEXTENDED EXPONENTIAL DISTRIBUTION
dc.subjectGENERALIZED EXPONENTIAL DISTRIBUTION
dc.subjectKUMARASWAMY DISTRIBUTION
dc.subjectMAXIMUM LIKELIHOOD ESTIMATION
dc.subjectMCDONALD DISTRIBUTION
dc.subjectMCDONALD EXTENDED EXPONENTIAL MODEL
dc.subjectMEAN DEVIATION
dc.subjectMOMENT GENERATING FUNCTION
dc.subjectQUANTILE FUNCTION
dc.titleThe McDonald extended distribution: properties and applications
dc.typeArtículos de revistas


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