Skip to main content

Advertisement

Log in

The Type II Topp Leone-Power Lomax Distribution with Analysis in Lifetime Data

  • ORIGINAL ARTICLE
  • Published:
Journal of Statistical Theory and Practice Aims and scope Submit manuscript

Abstract

In this article, a new distribution, namely the type II Topp Leone-power Lomax (TIITL-PL) distribution, is proposed. Some statistical properties of the proposed distribution are derived including the survival function, hazard rate function, quantile function, moments, moment-generating function, the density function of order statistics, Lorenz curve and Bonferroni curve. The proposed distribution has a special submodel, that is, the type II Topp Leone-Lomax distribution. The maximum likelihood method is employed for model parameter estimation. For application study, the goodness-of-fit study is presented to illustrate the ability of the proposed model to fit various types of real data sets. The result shows that the TIITL-PL model is a flexible alternative to fit and analysis of lifetime data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Lomax KS (1954) Business failures: another example of the analysis of failure data. J Am Stat Assoc 49(268):847–852

    Article  Google Scholar 

  2. Harris CM (1968) The Pareto distribution as a queue service discipline. Oper Res 16(2):307–313

    Article  Google Scholar 

  3. Atkinson A, Harrison A (1978) Distribution of personal wealth in Britain. Cambridge University Press, Cambridge

    Google Scholar 

  4. Holland O, Golaup A, Aghvami A (2006) Traffic characteristics of aggregated module downloads for mobile terminal reconfiguration. IEE Proc Commun 135:683–690

    Article  Google Scholar 

  5. Corbellini A, Crosato L, Ganugi P, Mazzoli M (2010) Fitting Pareto II distributions on firm size: statistical methodology and economic puzzles. In: Advances in data analysis, pp 321–328

    Google Scholar 

  6. Dagum C (2006) Wealth distribution models: analisys and applications. Statistica 66(3):235–268

    MathSciNet  MATH  Google Scholar 

  7. Rady EHA, Hassanein WA, Elhaddad TA (2016) The power Lomax distribution with an application to bladder cancer data. SpringerPlus 5(1):1838

    Article  Google Scholar 

  8. Mahmood Z, Chesneau C (2019) A new sine-G family of distributions: properties and applications, hal-02079224. https://hal.archives-ouvertes.fr/hal-02079224/file/new-sin-dist.pdf. Accessed 25 Aug 2019

  9. Eugene N, Lee C, Famoye F (2002) Beta-normal distribution and its applications. Commun Stat Theory Methods 31(4):497–512

    Article  MathSciNet  Google Scholar 

  10. Zografos K, Balakrishnan N (2009) On families of beta-and generalized gamma-generated distributions and associated inference. Stat Methodol 6(4):344–362

    Article  MathSciNet  Google Scholar 

  11. Elgarhy M, Nasir MA, Jamal F, Ozel G (2018) The type II Topp-Leone generated family of distributions: properties and applications. J Stat Manag Syst 21(8):1529–1551

    Article  Google Scholar 

  12. Mohammed HF, Yahia N (2019) On type II Topp-Leone inverse Rayleigh distribution. Appl Math Sci 13(13):607–615

    Google Scholar 

  13. Yahia N, Mohammed HF (2019) The type II Topp-Leone generalized inverse Rayleigh distribution. Int J Contemp Math Sci 14(3):113–122

    Article  Google Scholar 

  14. Arcagni A, Porro F (2014) The graphical representation of inequality. Revista Colombiana de estadistica 37(2):419–437

    Article  MathSciNet  Google Scholar 

  15. R Core Team (2018) R: a language and environment for statistical computing. Vienna, Austria. https://www.R-project.org/

  16. Lee ET, Wang J (2003) Statistical methods for survival data analysis, 3rd edn. Wiley, New York

    Book  Google Scholar 

  17. Xu K, Xie M, Tang LC, Ho SL (2003) Application of neural networks in forecasting engine systems reliability, and the Kaplan–Meier curve. Appl Soft Comput 2(4):255–268

    Article  Google Scholar 

  18. Alzaatreh A, Lee C, Famoye F (2015) Family of generalized gamma distributions: properties and applications. Hacet J Math Stat 45(3):869–886

    MathSciNet  MATH  Google Scholar 

  19. Nadarajah S, Kotz S (2008) Strength modeling using Weibull distributions. J Mech Sci Technol 22(7):1247–1254

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to express our deepest thanks to the reviewers for their valuable comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Winai Bodhisuwan.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Aryuyuen, S., Bodhisuwan, W. The Type II Topp Leone-Power Lomax Distribution with Analysis in Lifetime Data. J Stat Theory Pract 14, 31 (2020). https://doi.org/10.1007/s42519-020-00091-x

Download citation

  • Published:

  • DOI: https://doi.org/10.1007/s42519-020-00091-x

Keywords

Mathematics Subject Classification

Navigation