Skip to main content
Log in

Gompertz-modified Burr XII distribution: properties and applications

  • Original Research
  • Published:
Life Cycle Reliability and Safety Engineering Aims and scope Submit manuscript

Abstract

In this study, a new extension of the Gompertz distribution known as the Gompertz-modified Burr XII distribution is developed and studied. Various statistical properties of the distribution such as the reliability function, the quantile function, moments, order statistics, stochastic ordering, inequality measures, entropies, and stress-strength reliability parameter are derived. The plots of the density and hazard rate functions are obtained. The plots exhibit different kinds of nonmonotonic shapes. The maximum likelihood method of estimation is used to estimate the parameters of the distribution and Monte Carlo simulations are used to assess the consistency of the estimators. The flexibility and usefulness of the distribution are illustrated by fitting it to two different data sets. The results revealed that the distribution adequately fits the data sets.

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
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Abdal-hameed MK, Khaleel MA, Abdullah ZM, Oguntude PE, Adejumo AO (2018) Parameter estimation and reliability, hazard functions of Gompertz Burr type XII distribution. Tikrit J Admin Econ Sci 14(41):381–400

    Google Scholar 

  • Abdelhady DH, Amer YM (2020) On the inverse power Gompertz distribution. Ann Data Sci. https://doi.org/10.1007/s40745-020-00246-4

    Article  Google Scholar 

  • Afify AZ, Nofal ZM, Butt NS (2014) Transmuted complementary Weibull geometric distribution. Pak J Stat Oper Res X(4):435–454

    Article  MathSciNet  Google Scholar 

  • Alizadeh M, Benkhelifa L, Rasekhi M, Hosseini B (2019) The odd log-logistic generalized gompertz distribution: properties, applications and different methods of estimation. Commun Math Stat. https://doi.org/10.1007/s40304-018-00175-y

    Article  MATH  Google Scholar 

  • Alizadeh M, Cordeiro GM, Pinho LGB, Ghosh I (2017) The Gompertz-G family of distributions. J Stat Theory Pract 11(1):179–207. https://doi.org/10.1080/15598608.2016.1267668

    Article  MathSciNet  MATH  Google Scholar 

  • Bain LJ (1974) Analysis for the linear failure-rate life-testing distribution. Technometrics 16(4):551–559

    Article  MathSciNet  Google Scholar 

  • Bemmaor AC (1994) Modeling the diffusion of new durable goods: word-of-mouth effect versus consumer heterogeneity. In: Laurent G, Lilien GL, Pras B (eds) Research traditions in marketing. Springer Netherlands, Dordrecht, pp 201–229

    Google Scholar 

  • Benkhelifa L (2017) The beta generalized Gompertz distribution. Appl Math Model 52:341–357

    Article  MathSciNet  Google Scholar 

  • Dumonceaux R, Antle CE (1973) Discrimination between the log-normal and the Weibull distributions. Technometrics 15(4):923–926

    Article  Google Scholar 

  • El-Bassiouny AH, Medhat EL-D, Abdelfattah M, Eliwa MS (2017) Exponentiated generalized Weibull-Gompertz distribution with application in survival analysis. J Stat Appl Probab 6(1):7–16

    Article  Google Scholar 

  • Elbatal I, Jamal F, Chesneau C, Elgarhy M, Alrajhi S (2019) The modified beta Gompertz distribution: theory and applications. Mathematics 7(3):117

    Google Scholar 

  • El-Damcese MA, Mustafa A, El-Desouky BS, Mustafa ME (2015) The odd generalized exponential Gompertz distribution. Applied Mathematics 6:2340–2353. https://doi.org/10.4236/am.2015.614206

    Article  Google Scholar 

  • El-Gohary A, Ahmad A, Adel NA (2013) The generalized Gompertz distribution. Appl Math Model 37:13–24

    Article  MathSciNet  Google Scholar 

  • Eliwa MS, El-Morshedy M, Ibrahim M (2019) Inverse Gompertz distribution: properties and diferent estimation methods with application to complete and censored data. Ann Data Sci 6(2):321–339

    Article  Google Scholar 

  • Gastwirth J (1972) The estimation of the Lorenz curve and Gini index. Rev Econ Stat 54(3):306–316

    Article  MathSciNet  Google Scholar 

  • Giorgi GM, Crescenzi M (2001) A look at the Bonferroni inequality measure in a reliability framework. Stat LXL 4:571–583

    MathSciNet  MATH  Google Scholar 

  • Gompertz B (1825) On the nature of the function expressive of the law of human mortality and on the new mode of determining the value of life contingencies. Philos Trans R Soc A 115:513–580

    Article  Google Scholar 

  • Jafari A, Saeid T, Morad A (2014) The beta-Gompertz distribution. Rev Colomb de Estad 37(1):139–156

    Article  MathSciNet  Google Scholar 

  • Jafari AA, Tahmasebi S (2016) Gompertz-power series distributions. Commun Stat Theory Methods 45(13):3761–3781

    Article  MathSciNet  Google Scholar 

  • Jamal F, Chesneau C, Nasir A, Saboor A, Altun E, Khan MA (2020) On a modified Burr XII distribution having flexible hazard rate shapes. Math Slov 70:193–212. https://doi.org/10.1515/ms-2017-0344

    Article  MathSciNet  MATH  Google Scholar 

  • Khan MS, King R, Hudson IL (2016) Transmuted Gompertz distribution: application and estimation. Pak J Stat 32(3):161–182

    Google Scholar 

  • Lai CD, Xie M, Murthy DNP (2003) A modified Weibull distribution. IEEE Trans Reliab 52:33–37

    Article  Google Scholar 

  • Linhart H, Zucchini W (1986) Model selection. Wiley, New York

    MATH  Google Scholar 

  • Mazucheli J, Menezes AF, Dey S (2019) Unit-Gompertz distribution with applications. Statistica 79(1):25–43

    Google Scholar 

  • Oguntunde PE, Khaleel MA, Ahmed MT, Okagbue HI, Shiraishi H (2019) The Gompertz Fréchet distribution: properties and applications. Cogent Math Stat 6(1):1568662

    Article  Google Scholar 

  • Quesenberry C, Hales C (1980) Concentration bands for uniformity plots. J Stat Comput Simul 11(1):41–53

    Article  Google Scholar 

  • Weibull WA (1951) Statistical distribution function of wide applicability. J Appl Mech 18:293–296

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abdul Ghaniyyu Abubakari.

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

Abubakari, A.G., Nasiru, S. & Abonongo, J. Gompertz-modified Burr XII distribution: properties and applications. Life Cycle Reliab Saf Eng 10, 199–215 (2021). https://doi.org/10.1007/s41872-020-00158-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41872-020-00158-5

Keywords

Navigation