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A new generalization of the Marshall–Olkin Gompertz distribution

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Abstract

In this paper, a new distribution of the four-parameter lifetime model called the Marshall–Olkin Gompertz is proposed on the basis of the Gompertz distribution. It is a generalization of the Marshall–Olkin Gompertz distribution having constant failure rate and can also be constant, decreasing, increasing unimodal and bathtub-shaped depending on its parameters. Some mathematical properties of this model such as the probability density function, cumulative distribution function, hazard rate function, central moments, moments of order statistics, Renyi and Shannon entropies and quantile function are derived. In addition, the maximum likelihood of its parameters method is estimated and this new distribution compared with some Gompertz distribution generalizations by means of a set of real data.

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References

  • Bemmaor AC, Glady N (2012) Modeling purchasing behavior with sudden death: a flexible customer lifetime model. Manag Sci 58(5):1012–1021

    Article  Google Scholar 

  • Economos AC (1982) Rate of aging, rate of dying and the mechanism of mortality. Arch Gerontol Geriatr 1(1):46–51

    Article  MathSciNet  Google Scholar 

  • El-Gohary A, Al-Otaibi AN (2013) The generalized Gompertz distribution. Appl Math Model 37(2):13–24

    Article  MATH  MathSciNet  Google Scholar 

  • Gavrilov L, Govrilova N (1991) The biology of life span: a quantitative approach. Harwood, Chur

    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 Am 115:513–580

    Article  Google Scholar 

  • Gupta RD, Kundu D (1999) Generalized exponential distributions. Aust N Z J Stat 41:173–188

    Article  MATH  MathSciNet  Google Scholar 

  • Jafari AA, Tahmasebi S, Alizadeh M (2014) The beta-Gompertz distribution. Rev Colomb Estad 37:141–158

    Article  MathSciNet  Google Scholar 

  • Johnson NL, Kotz S, Balakrishnan N (1995) Continuous univariate distributions, vol 2, 2nd edn. Wiley, New York

    MATH  Google Scholar 

  • Kenney JF, Keeping E (1962) Mathematics of statistics. D. Van Nostrand Company, Princeton

    MATH  Google Scholar 

  • Makeham WM (1860) On the law of mortality and the construction of annuity tables. Assur Mag J Inst Actuar 8:301–310

    Article  Google Scholar 

  • Marshall AW, Olkin I (1997) A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families. Biometrika 84:641–652

    Article  MATH  MathSciNet  Google Scholar 

  • Mood AM, Graybill FA (1963) Introduction to the theory of statistics, 2nd edn. McGraw-Hill, New York

  • Moors JJA (1988) A quantile alternative for kurtosis. J R Stat Soc Ser D 37(1):25–32

    Google Scholar 

  • Ohishi K, Okamura H, Dohi T (2009) Gompertz software reliability model: estimation algorithm and empirical validation. J Syst Softw 82(3):535–543

    Article  Google Scholar 

  • Renyi A (1961) On measures of entropy and information. In: Proceedings of Berekeley symposium, statistics, probability, vol 1, pp 547–561

  • Roozegar R, Tahmasebi S, Jafari AA (2015) The McDonald Gompertz distribution: properties and applications. Commun Stat Simul Comput. doi:10.1080/03610918.2015.1088024

    MATH  Google Scholar 

  • Smith RL, Naylor JC (1987) A comparison of maximum likelihood and bayesian estimators for the three-parameter Weibull distribution. Appl Stat 36:358–369

    Article  MathSciNet  Google Scholar 

  • Wetterstrand WH (1981) Parametric models for life insurance mortality data: Gompertz’s law over time. Trans Soc Actuar 33:159–179

    Google Scholar 

  • Willemse W, Koppelaar H (2000) Knowledge elicitation of Gompertz law of mortality. Scand Actuar J 2:168–179

    Article  MATH  MathSciNet  Google Scholar 

Download references

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The authors wish to thank the respected editor and reviewers for evaluation of this article.

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Correspondence to Shahram Yaghoobzadeh.

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Yaghoobzadeh, S. A new generalization of the Marshall–Olkin Gompertz distribution. Int J Syst Assur Eng Manag 8 (Suppl 2), 1580–1587 (2017). https://doi.org/10.1007/s13198-017-0630-8

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  • DOI: https://doi.org/10.1007/s13198-017-0630-8

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