The Kumaraswamy Weibull Geometric Distribution with Applications

被引:4
作者
Rasekhi, Mahdi [1 ]
Alizadeh, Morad [2 ]
Hamedani, G. G. [3 ]
机构
[1] Malayer Univ, Dept Stat, Malayer, Iran
[2] Persian Gulf Univ, Dept Stat, Bushehr, Iran
[3] Marquette Univ, Dept Math Stat & Comp Sci, Milwaukee, WI 53233 USA
关键词
Weibull Geometric distribution; Data Analysis; Moments; Entropy; Characterizations;
D O I
10.18187/pjsor.v14i2.1551
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this work, we study the kumaraswamy weibull geometric (Kw-WG) distribution which includes as special cases, several models such as the kumaraswamy weibull distribution, kumaraswamy exponential distribution, weibull geometric distribution, exponential geometric distribution, to name a few. This distribution was monotone and non-monotone hazard rate functions, which are useful in lifetime data analysis and reliability. We derive some basic properties of the Kw-WG distribution including non-central rth-moments, skewness, kurtosis, generating functions, mean deviations, mean residual life, entropy, order statistics and certain characterizations of our distribution. The method of maximum likelihood is used for estimating the model parameters and a simulation study to investigate the behavior of this estimation is presented. Finally, an application of the new distribution and its comparison with recent flexible generalization of weibull distribution is illustrated via two real data sets.
引用
收藏
页码:347 / 366
页数:20
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