THE TYPE I HEAVY-TAILED ODD POWER GENERALIZED WEIBULL-G FAMILY OF DISTRIBUTIONS WITH APPLICATIONS

被引:1
|
作者
Moakofi, Thatayaone [1 ]
Oluyede, Broderick [1 ]
机构
[1] Botswana Int Univ Sci & Technol, Dept Math & Stat Sci, Palapye, Botswana
关键词
Heavy-tailed; generalized distribution; actuarial measures; maximum likelihood estimation;
D O I
10.31801/cfsuasmas.1195058
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this study, we propose a new heavy-tailed distribution, namely, the type I heavy-tailed odd power generalized Weibull-G family of distributions. Several statistical properties including hazard rate function, quantile function, moments, distribution of the order statistics and Re ' nyi entropy are presented. Actuarial measures such as value at risk, tail value at risk, tail variance and tail variance premium are also derived. To obtain the estimates of the parameters of the new family of distributions, we adopt the maximum likelihood estimation method and assess the consistency property via a Monte Carlo simulation. Finally, we illustrate the usefulness of the new family of distributions by analyzing four real life data sets from different fields such as insurance, engineering, bio-medical and environmental sciences.
引用
收藏
页码:921 / 958
页数:38
相关论文
共 50 条
  • [21] Relations for moments of generalised order statistics based on Weibull-G family of distributions
    Athar, Haseeb
    Alharbi, Yousef F.
    Fawzy, Mohamad A.
    OPERATIONS RESEARCH AND DECISIONS, 2022, 32 (04) : 17 - 31
  • [22] Modified Odd Weibull Family of Distributions: Properties and Applications
    Chesneau, Christophe
    El Achi, Taoufik
    JOURNAL OF THE INDIAN SOCIETY FOR PROBABILITY AND STATISTICS, 2020, 21 (01) : 259 - 286
  • [23] Modified Odd Weibull Family of Distributions: Properties and Applications
    Christophe Chesneau
    Taoufik El Achi
    Journal of the Indian Society for Probability and Statistics, 2020, 21 : 259 - 286
  • [24] Sine π-power odd-G family of distributions with applications
    Sapkota, Laxmi Prasad
    Kumar, Pankaj
    Kumar, Vijay
    Tashkandy, Yusra A.
    Bakr, M. E.
    Balogun, Oluwafemi Samson
    Mekiso, Getachew Tekle
    Gemeay, Ahmed M.
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [25] An inferential analysis for the Weibull-G family of distributions under progressively censored data
    Ashish Kumar Shukla
    Sakshi Soni
    Kapil Kumar
    OPSEARCH, 2023, 60 : 1488 - 1524
  • [26] A Novel Generalized-M Family: Heavy-Tailed Characteristics with Applications in the Engineering Sector
    El-Morshedy, Mahmoud
    Almaspoor, Zahra
    Abbas, Nasir
    Khan, Zahid
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [27] Modelling Insurance Losses with a New Family of Heavy-Tailed Distributions
    Arif, Muhammad
    Khan, Dost Muhammad
    Khosa, Saima Khan
    Aamir, Muhammad
    Aslam, Adnan
    Ahmad, Zubair
    Gao, Wei
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 66 (01): : 537 - 550
  • [28] The Generalized Odd Gamma-G Family of Distributions: Properties and Applications
    Hosseini, B.
    Afshari, M.
    Alizadeh, M.
    AUSTRIAN JOURNAL OF STATISTICS, 2018, 47 (02) : 69 - 89
  • [29] An inferential analysis for the Weibull-G family of distributions under progressively censored data
    Shukla, Ashish Kumar
    Soni, Sakshi
    Kumar, Kapil
    OPSEARCH, 2023, 60 (03) : 1488 - 1524
  • [30] Bivariate odd Weibull-G family of distributions: properties, Bayesian and non-Bayesian estimation with bootstrap confidence intervals and application
    Eliwa, M. S.
    El-Morshedy, M.
    JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE, 2020, 14 (01): : 331 - 345