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The Gamma-Weibull-G Family of Distributions with Applications

dc.contributor.authorOluyede, Broderick
dc.contributor.authorPu, Shusen
dc.contributor.authorMakubate, Boikanyo
dc.contributor.authorQiu, Yuqi
dc.date.accessioned2026-03-16T09:36:31Z
dc.date.available2026-03-16T09:36:31Z
dc.date.issued2018-02
dc.description.abstractWeibull distribution and its extended families has been widely studied in lifetime ap- plications. Based on the Weibull-G family of distributions and the exponentiated Weibull distribution, we study in detail this new class of distributions, namely, Gamma-Weibull- G (GWG) family of distributions. Some special models in the new class are discussed. Statistical properties of the family of distributions, such as expansion of density function, hazard and reverse hazard functions, quantile function, moments, incomplete moments, generating functions, mean deviations, Bonferroni and Lorenz curves and order statistics are presented. We also present R´enyi entropy, estimation of parameters by using method of maximum likelihood, asymptotic confidence intervals and applications using real data sets.en_US
dc.description.accessibilityunrestricteden_US
dc.description.departmentmssen_US
dc.description.levelphden_US
dc.identifier.citationThe Oluyede,B,et al. (2028) Gamma-Weibull-G Family of Distributions with Applications, Austrian Journal of Statistics;doi:10.17713/ajs.v47i1.155doi:10.17713/ajs.v47i1.155en_US
dc.identifier.urihttps://repository.biust.ac.bw/handle/123456789/729
dc.publisherAustrian Journal of Statisticsen_US
dc.subjectGamma distributionen_US
dc.subjectWeibull-G distributionen_US
dc.subjectMaximum likelihood estimationen_US
dc.titleThe Gamma-Weibull-G Family of Distributions with Applicationsen_US

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