A Flexible Bounded Distribution: Information Measures and Lifetime Data Analysis

被引:0
作者
Zahid Ur Rehman
Chunhai Tao
Hassan S. Bakouch
Tassaddaq Hussain
Qingsong Shan
机构
[1] Jiangxi University of Finance and Economics,Department of Statistics
[2] Qassim University,Department of Mathematics, College of Science
[3] Tanta University,Department of Mathematics
[4] Mirpur University of Science and Technology (MUST),Department of Mathematics
来源
Bulletin of the Malaysian Mathematical Sciences Society | 2023年 / 46卷
关键词
Odd link function; Hazard rate function; Reliability; Goodness-of-fit statistics; Mills ratio; Information criterion; Lifetime data analysis; 60E05; 62E10; 62N05;
D O I
暂无
中图分类号
学科分类号
摘要
This article introduces the Fréchet log-logistic distribution (FLD) model, which offers a notable, bounded, and flexible distribution for modeling increasing and bathtub shapes failure rate phenomena. Compared to well-known distributions like Weibull and Fréchet distributions, the proposed FLD model provides a more adaptable solution to lifetime data modeling. Various mathematical and statistical characteristics of the model, including the hazard function, percentile function, moment generating function, entropy, and characterization, are considered. Real-life data applications of the FLD model are also explored using four data sets, and the results show that the proposed model is a viable alternative to existing lifetime probability models.
引用
收藏
相关论文
共 65 条
[1]  
Dombi J(2018)The Epsilon probability distribution and its application in reliability theory Acta Polytech. Hung. 35 600-626
[2]  
Jónás T(2019)The omega probability distribution and its applications in reliability theory Qual. Reliab. Eng. Int. 17 231-252
[3]  
Tóth Z(2020)On an alternative to four notable distribution functions with applications in engineering and the business sciences Acta Polytech. Hung. 10 113-126
[4]  
Dombi J(1838)Notice sur la loi que la population suit dans son accroissement Correspondence mathematique et physique 10 p93-6227
[5]  
Jónás T(2021)On the log-logistic distribution and its generalizations: a survey Int. J. Stat. Probab. 28 6222-207
[6]  
Tóth ZE(2021)A new modified Kies Fréchet distribution: applications of mortality rate of Covid-19 Results Phys. 46 201-487
[7]  
Árva G(2016)Characterizations of continuous distributions by truncated moment J. Mod. Appl. Stat. Methods 40 479-114
[8]  
Dombi J(2017)Characterization of Lindley distribution by truncated moments Commun. Stat. Theory Methods 52 1-122
[9]  
Jónás T(2011)Characterizations of the Shakil–Kibria–Singh distribution Austrian J. Stat. 1 101-31
[10]  
Verhulst P-F(1988)Possible generalization of Boltzmann–Gibbs statistics J. Stat. Phys. 105 34-150