The beta modified Weibull distribution

dc.creatorSILVA, Giovana O.
dc.creatorORTEGA, Edwin M. M.
dc.creatorCORDEIRO, Gauss M.
dc.date.accessioned2012-10-19T02:22:01Z
dc.date.accessioned2018-07-04T14:52:47Z
dc.date.available2012-10-19T02:22:01Z
dc.date.available2018-07-04T14:52:47Z
dc.date.created2012-10-19T02:22:01Z
dc.date.issued2010
dc.identifierLIFETIME DATA ANALYSIS, v.16, n.3, p.409-430, 2010
dc.identifier1380-7870
dc.identifierhttp://producao.usp.br/handle/BDPI/18931
dc.identifier10.1007/s10985-010-9161-1
dc.identifierhttp://dx.doi.org/10.1007/s10985-010-9161-1
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1615722
dc.description.abstractA five-parameter distribution so-called the beta modified Weibull distribution is defined and studied. The new distribution contains, as special submodels, several important distributions discussed in the literature, such as the generalized modified Weibull, beta Weibull, exponentiated Weibull, beta exponential, modified Weibull and Weibull distributions, among others. The new distribution can be used effectively in the analysis of survival data since it accommodates monotone, unimodal and bathtub-shaped hazard functions. We derive the moments and examine the order statistics and their moments. We propose the method of maximum likelihood for estimating the model parameters and obtain the observed information matrix. A real data set is used to illustrate the importance and flexibility of the new distribution.
dc.languageeng
dc.publisherSPRINGER
dc.relationLifetime Data Analysis
dc.rightsCopyright SPRINGER
dc.rightsrestrictedAccess
dc.subjectBeta distribution
dc.subjectExponentiated exponential
dc.subjectExponentiated Weibull
dc.subjectGeneralized modified Weibull
dc.subjectMaximum likelihood
dc.subjectModified Weibull
dc.subjectObserved information matrix
dc.subjectWeibull distribution
dc.titleThe beta modified Weibull distribution
dc.typeArtículos de revistas


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