文章基本信息

标题：The Exponential Lindley Odd Log-Logistic-G Family: Properties, Characterizations and Applications
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作者：Mustafa Ç. Korkmaz ; Haitham M. Yousof ; G. G. Hamedani 等
期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2018
卷号：17
期号：3
页码：556-573
DOI：10.2991/jsta.2018.17.3.10
语种：English
出版社：Atlantis Press
摘要：A new family of distributions called the exponential Lindley odd log-logistic G family is introduced and studied. The new generator generalizes three newly defined G families and also defines two new G families. We provide some mathematical properties of the new family. Characterizations based on truncated moments as well as in terms of the hazard function are presented. The maximum likelihood is used for estimating the model parameters. We assess the performance of the maximum likelihood estimators in terms of biases and mean squared errors by means of a simulation study. Finally, the usefulness of the family is illustrated by means of three real data sets. The new model provides consistently better fits than other competitive models for these data sets.
关键词：Exponential Lindley family;odd log-logistic family;mixture distribution family;maximum likelihood;moments;characterizations