THE EXPONENTIATED XGAMMA DISTRIBUTION: A NEW MONOTONE FAILURE RATE MODEL AND ITS APPLICATIONS TO LIFETIME DATA

被引:0
|
作者
Yadav, Abhimanyu Singh [1 ]
Saha, Mahendra [2 ]
Tripathi, Harsh [2 ,3 ]
Kumar, Sumit [4 ]
机构
[1] Banaras Hindu Univ, Dept Stat, Varanasi, Uttar Pradesh, India
[2] Cent Univ Rajasthan, Dept Stat, Ajmer, India
[3] Lovely Profess Univ, Dept Math, Ajmer, Punjab, India
[4] Inst Adv Res, Dept Engn & Phys Sci, Gandhinagar, Gujarat, India
来源
STATISTICA | 2021年 / 81卷 / 03期
关键词
Xgamma distribution; Moments; Generating function; Conditional moments; Reliability curve; Different methods of estimation; FAMILY;
D O I
暂无
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 article, the exponentiated version of xgamma distribution (XGD) has been introduced, named as exponentiated xgamma distribution (EXGD). The proposed model is positively skewed and possess some interesting shapes of hazard rate, i.e., increasing, decreasing and bathtub. Different distributional properties of proposed model, viz., moments, generating functions, mean deviation, quantile function, order statistics, reliability curves and indices etc. have been derived. The estimation of the parameters, survival function and hazard function of EXGD have been approached by different methods of estimation. A Simulation study is carried out to compare the performances of the different estimators obtained via different methods of estimation. Two real data sets have been analyzed to illustrate the applicability of the proposed model.
引用
收藏
页码:303 / 334
页数:32
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