Exponentiated generalized linear exponential distribution

被引:28
|
作者
Sarhan, Ammar M. [1 ,3 ]
Ahmad, Abd El-Baset A. [2 ]
Alasbahi, Ibtesam A. [2 ]
机构
[1] StFX Univ, Dept Math Stats & CS, Antigonish, NS B2G 2W5, Canada
[2] Assiut Univ, Dept Math, Assiut, Egypt
[3] Mansoura Univ, Fac Sci, Dept Math, Mansoura 35516, Egypt
关键词
Distribution theory; Estimation theory; Reliability analysis;
D O I
10.1016/j.apm.2012.06.019
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A new generalization of the linear exponential distribution is recently proposed by Mahmoud and Alam [1], called as the generalized linear exponential distribution. Another generalization of the linear exponential was introduced by Sarhan and Kundu [1,21, named as the generalized linear failure rate distribution. This paper proposes a more generalization of the linear exponential distribution which generalizes the two. We refer to this new generalization as the exponentiated generalized linear exponential distribution. The new distribution is important since it contains as special sub-models some widely well known distributions in addition to the above two models, such as the exponentiated Weibull distribution among many others. It also provides more flexibility to analyze complex real data sets. We study some statistical properties for the new distribution. We discuss maximum likelihood estimation of the distribution parameters. Three real data sets are analyzed using the new distribution, which show that the exponentiated generalized linear exponential distribution can be used quite effectively in analyzing real lifetime data. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:2838 / 2849
页数:12
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