dc.creatorCORDEIRO, Gauss M.
dc.creatorCASTRO, Mario de
dc.date.accessioned2012-10-20T03:34:37Z
dc.date.accessioned2018-07-04T15:38:31Z
dc.date.available2012-10-20T03:34:37Z
dc.date.available2018-07-04T15:38:31Z
dc.date.created2012-10-20T03:34:37Z
dc.date.issued2011
dc.identifierJOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.81, n.7, p.883-898, 2011
dc.identifier0094-9655
dc.identifierhttp://producao.usp.br/handle/BDPI/28896
dc.identifier10.1080/00949650903530745
dc.identifierhttp://dx.doi.org/10.1080/00949650903530745
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1625538
dc.description.abstractKumaraswamy [Generalized probability density-function for double-bounded random-processes, J. Hydrol. 462 (1980), pp. 79-88] introduced a distribution for double-bounded random processes with hydrological applications. For the first time, based on this distribution, we describe a new family of generalized distributions (denoted with the prefix `Kw`) to extend the normal, Weibull, gamma, Gumbel, inverse Gaussian distributions, among several well-known distributions. Some special distributions in the new family such as the Kw-normal, Kw-Weibull, Kw-gamma, Kw-Gumbel and Kw-inverse Gaussian distribution are discussed. We express the ordinary moments of any Kw generalized distribution as linear functions of probability weighted moments (PWMs) of the parent distribution. We also obtain the ordinary moments of order statistics as functions of PWMs of the baseline distribution. We use the method of maximum likelihood to fit the distributions in the new class and illustrate the potentiality of the new model with an application to real data.
dc.languageeng
dc.publisherTAYLOR & FRANCIS LTD
dc.relationJournal of Statistical Computation and Simulation
dc.rightsCopyright TAYLOR & FRANCIS LTD
dc.rightsrestrictedAccess
dc.subjectgamma distribution
dc.subjectKumaraswamy distribution
dc.subjectmoments
dc.subjectnormal distribution
dc.subjectorder statistics
dc.subjectWeibull distribution
dc.titleA new family of generalized distributions
dc.typeArtículos de revistas


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