文章基本信息

标题：A Generalized Gamma-Weibull Distribution: Model, Properties and Applications
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作者：R.S. Meshkat ; Hamzeh Torabi ; G.G. Hamedani 等
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2016
卷号：12
期号：2
页码：201-212
DOI：10.18187/pjsor.v12i2.1130
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：We propose a new method to generate family of distributions. Then, a family of univariate distributions generated by the Gamma random variable is defined. The generalized Gamma-Weibull (GGW) distribution is studied as a special case of this family. Results for moments are provided. To estimate the model parameters, the maximum likelihood estimators and the asymptotic distributions of the estimators are discussed. Certain characterizations of GGW distribution are presented. Finally, the usefulness of the new distribution is shown via an application.
其他摘要：We propose a new method to generate family of distributions. Then, a family of univariate distributions generated by the Gamma random variable is defined. The generalized Gamma-Weibull (GGW) distribution is studied as a special case of this family. Results for moments are provided. To estimate the model parameters, the maximum likelihood estimators and the asymptotic distributions of the estimators are discussed. Certain characterizations of GGW distribution are presented. Finally, the usefulness of the new distribution is shown via an application.