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The Gamma-Weibull-G Family of Distributions with Applications

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dc.contributor.author Oluyede, Broderick
dc.contributor.author Pu, Shusen
dc.contributor.author Makubate, Boikanyo
dc.contributor.author Qiu, Yuqi
dc.date.accessioned 2026-03-16T09:36:31Z
dc.date.available 2026-03-16T09:36:31Z
dc.date.issued 2018-02
dc.identifier.citation The 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.v47i1.155 en_US
dc.identifier.uri https://repository.biust.ac.bw/handle/123456789/729
dc.description.abstract Weibull 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.publisher Austrian Journal of Statistics en_US
dc.subject Gamma distribution en_US
dc.subject Weibull-G distribution en_US
dc.subject Maximum likelihood estimation en_US
dc.title The Gamma-Weibull-G Family of Distributions with Applications en_US
dc.description.level phd en_US
dc.description.accessibility unrestricted en_US
dc.description.department mss en_US


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