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  • 标题:The Exponentiated Kumaraswamy-G Class: General Properties and Application
  • 作者:Ronaldo silva ; Ronaldo silva ; Frank Gomes-Silva
  • 期刊名称:Revista Colombiana de Estadística
  • 印刷版ISSN:2389-8976
  • 出版年度:2019
  • 卷号:42
  • 期号:1
  • 页码:1-33
  • DOI:10.15446/rce.v42n1.66205
  • 语种:English
  • 出版社:Universidad Nacional de Colombia, sede Bogotá
  • 摘要:We propose a new family of distributions called the exponentiated Kumaraswamy-G class with three extra positive parameters, which generalizes the Cordeiro and de Castro's family. Some special distributions in the new class are discussed. We derive some mathematical properties of the proposed class including explicit expressions for the quantile function, ordinary and incomplete moments, generating function, mean deviations, reliability, Rényi entropy and Shannon entropy. The method of maximum likelihood is used to fit the distributions in the proposed class. Simulations are performed in order to assess the asymptotic behavior of the maximum likelihood estimates. We illustrate its potentiality with applications to two real data sets which show that the extended Weibull model in the new class provides a better fit than other generalized Weibull distributions.
  • 关键词:BFGS method;Exponential distribution;Exponentiated Kuma-ras-wamy-G;Kumaraswamy distribution;Maximum likelihood estimation;Distribución exponencial;Distribución Kumaraswamy;Estimación de máxima verosimilitud;Kumaraswamy-G Exponenciada;Método BFGS
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