Parameter estimation of some Kumaraswamy-G type distributions

被引:0
|
作者
Güvenç Arslan
Sevgi Yurt Oncel
机构
[1] Kırıkkale University,Department of Statistics
来源
Mathematical Sciences | 2017年 / 11卷
关键词
Kumaraswamy distribution; Maximum likelihood; Maximum spacing; Parameter estimation; Simulation;
D O I
暂无
中图分类号
学科分类号
摘要
Since Kum-G distributions have additional two parameters, the estimation of parameters becomes an interesting problem by itself. In this study, we consider parameter estimation of Kum-Weibull, Kum-Pareto and Kum-Power distributions by using the maximum likelihood and the maximum spacing methods. These three distributions are important in reliability and other applications. The Kum-Pareto and Kum-Power distributions have parameter-dependent boundaries, which makes the estimation of parameters more interesting. We performed simulations for each of these considered distributions by using the R software for estimating parameters using the maximum likelihood and the maximum spacing method. In addition, an application of these distribution families to real data for modeling wind speed in a particular location in Turkey is discussed.
引用
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页码:131 / 138
页数:7
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