Skip to main content
Log in

A New Member from the TX Family of Distributions: the Gumbel-Burr XII Distribution and Its Properties

  • Published:
Sankhya A Aims and scope Submit manuscript

Abstract

A new member from the TX family of distribution called the Gumbel-Burr XII (GUBXII) distribution is introduced. This was realized by adopting the logit transformation of the cumulative distribution function of the Burr XII random variable, while taking the Gumbel distribution as the generator. An account of some mathematical properties of the new distribution including the maximum likelihood estimation of its parameters is presented. A real data set is further used to test the applicability of the new distribution.

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.

Similar content being viewed by others

References

  • Al-Aqtash, R., Lee, C. and Famoye, F. (2014). Gumbel-weibull distribution: properties and application. Journal of Modern Applied Statistical Method13, 2, 201–225.

    Article  Google Scholar 

  • Alzaatreh, A., Lee, C. and Famoye, F. (2013). A new method for generating families of continuous distributions. Metron71, 1, 63–79.

    Article  MathSciNet  Google Scholar 

  • Andrews, D.F. and Herzberg, A.M. (1985). Data: a collection of problems from many fields for the student and research worker (Springer Series in Statistics). Springer, New York.

    Book  Google Scholar 

  • Cooray, K. and Ananda, M. (2008). A generalization of the half-normal distribution with applications to lifetime data. Communication in Statistics-Theory and Methods37, 1323–1337.

    Article  MathSciNet  Google Scholar 

  • Cordeiro, G.M. and de Castro, M. (2011). A new family of generalized distributions. J. Stat. Comput. Simul.81, 7, 883–898.

    Article  MathSciNet  Google Scholar 

  • Eugene, N., Lee, C. and Famoye, F. (2002). Beta-normal distribution and its applications. Communications in Statistics-Theory and Methods31, 4, 497–512.

    Article  MathSciNet  Google Scholar 

  • Galton, F. (1883). Enquiries into human faculty and its development. Macmillan and Company, London.

    Book  Google Scholar 

  • Gupta, R.C., Gupta, P.L. and Gupta, R.D. (1998). Modeling failure time data by Lehman alternatives. Communications in Statistics-Theory and Methods27, 4, 887–904.

    Article  MathSciNet  Google Scholar 

  • Johnson, N.L. (1949). Systems of frequency curves generated by methods of translation. Biometrika36, 149–176.

    Article  MathSciNet  Google Scholar 

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

    MATH  Google Scholar 

  • Jones, M.C. (2009). Kumaraswamy’s distribution: a beta-type distribution with tractability advantages. Statistical Methodology6, 70–81.

    Article  MathSciNet  Google Scholar 

  • Lee, C., Famoye, F. and Alzaatreh, A. (2013). Methods for generating families of univariate continuous distributions in the recent decades. WIREs Computational Statistics5, 219–238.

    Article  Google Scholar 

  • Moor, J.J. (1988). A quantile alternative for Kurtosis. The Statistician37, 25–32.

    Article  Google Scholar 

  • Mudholkar, G.S. and Srivastava, D.K. (1993). Exponentiated Weibull family for analyzing bathtub failure-rate data. IEEE Trans. Reliab.42, 2, 299–302.

    Article  Google Scholar 

  • Nadarajah, S. and Zografos, K. (2003). Formulas for Renyi information and related measures for univariate distributions. Inform. Sci.155, 119–138.

    Article  MathSciNet  Google Scholar 

  • Pearson, K. (1895). Contribution to the mathematical theory of evolution II. Skew variation in homogenous material. Philos Trans R Soc Lond A186, 343–414.

    Article  Google Scholar 

  • Shannon, C.E. (1948). A mathematical theory of communication. Bell System Technical Journal27, 379–432.

    Article  MathSciNet  Google Scholar 

  • Sheather, S.J. and Jones, M.C. (1991). A reliable Data-Based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society, Series B (Methodological)50, 683–690.

    Article  MathSciNet  Google Scholar 

  • Tukey, J.W. (1960). The practical relationship between the common transformations of percentages of counts and amounts. Technical report 36. Princeton University, Princeton NJ, Statistical Technique Research Group.

  • Zimmer, W.J., Keats, J. and Wang, F.K. (1998). The Burr XII distribution in reliability analysis. J. Qual. Technol.30, 386–394.

    Article  Google Scholar 

Download references

Acknowledgements

The authors are very grateful to the anonymous referee(s) and the editor-in-chief for their useful comments which largely helped to improve this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patrick Osatohanmwen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Osatohanmwen, P., Oyegue, F.O. & Ogbonmwan, S.M. A New Member from the TX Family of Distributions: the Gumbel-Burr XII Distribution and Its Properties. Sankhya A 81, 298–322 (2019). https://doi.org/10.1007/s13171-017-0110-x

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13171-017-0110-x

Keywords and phrases.

AMS (2000) subject classification.

Navigation