On a new generalized lindley distribution: Properties, estimation and applications

被引:10
作者
Algarni, Ali [1 ]
机构
[1] King AbdulAziz Univ, Fac Sci, Dept Stat, Jeddah, Saudi Arabia
关键词
D O I
10.1371/journal.pone.0244328
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this study, an extension of the generalized Lindley distribution using the Marshall-Olkin method and its own sub-models is presented. This new model for modelling survival and lifetime data is flexible. Several statistical properties and characterizations of the subject distribution along with its reliability analysis are presented. Statistical inference for the new family such as the Maximum likelihood estimators and the asymptotic variance covariance matrix of the unknown parameters are discussed. A simulation study is considered to compare the efficiency of the different estimators based on mean square error criterion. Finally, a real data set is analyzed to show the flexibility of our proposed model compared with the fit attained by some other competitive distributions.
引用
收藏
页数:19
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