文章基本信息

标题：Bayesian Estimation of the Kumaraswamy InverseWeibull Distribution
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作者：Felipe R.S. de Gusmão ; Vera L.D. Tomazella ; Ricardo S. Ehlers 等
期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2017
卷号：16
期号：2
页码：250-262
DOI：10.2991/jsta.2017.16.2.9
语种：English
出版社：Atlantis Press
摘要：The Kumaraswamy InverseWeibull distribution has the ability to model failure rates that have unimodal shapes and are quite common in reliability and biological studies. The three-parameter Kumaraswamy InverseWeibull distribution with decreasing and unimodal failure rate is introduced. We provide a comprehensive treatment of the mathematical properties of the Kumaraswany Inverse Weibull distribution and derive expressions for its moment generating function and the r-th generalized moment. Some properties of the model with some graphs of density and hazard function are discussed. We also discuss a Bayesian approach for this distribution and an application was made for a real data set.
关键词：Kumaraswamy distribution; Weibull distribution; Survival; Bayesian analysis.