A New Class of Probability Distributions With An Application to Engineering Data

被引:0
|
作者
Hassan, Anwar [1 ]
Dar, I. H. [1 ]
Lone, M. A. [1 ]
机构
[1] Univ Kashmir, Dept Stat, Srinagar, India
关键词
Exponentiated exponential distribution; hazard rate function; Renyi entropy; simulation study; maximum likelihood estimation; FAMILY; BATHTUB;
D O I
10.18187/pjsor.v20i2.3845
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
This manuscript introduces a novel class of probability distributions termed the New Exponentiated Transformation (NET), aimed at enhancing the flexibility of baseline distributions without adding complexity from extra parameters. The transformation is specialized on the exponentiated exponential distribution, resulting in the New Exponentiated Exponential (NEE) distribution. NEE offers increased flexibility in density function and features hazard rate functions with various shapes. The manuscript also highlights several mathematical properties of proposed distribution. To demonstrate the applicability of the proposed distribution, two engineering data-sets are analyzed, showing that NEE distribution provides a better fit than all other considered models.
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页码:217 / 231
页数:15
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