IDEAS home Printed from https://ideas.repec.org/a/bpj/ecqcon/v29y2014i1p11n8.html
   My bibliography  Save this article

A Note on a Generalization of the Exponentiated Pareto Distribution

Author

Listed:
  • Elbatal Ibrahim

    (Institute of Statistical Studies and Research, Department of Mathematical Statistics, Cairo University, Egypt)

  • Merovci Faton

    (Department of Mathematics, University of Prishtina “Hasan Prishtina”, Republic of Kosovo)

Abstract

In this paper we introduce the so-called McDonald Exponentiated Pareto distribution. We provide a number of mathematical properties of this distribution and derive among others expressions for its moment-generating function, the rth moment, and the Renyi entropy. Finally, we present the likelihood equations to support the application of the McDonald Exponentiated Pareto distribution. The aim of the paper is to introduce an interesting distribution which is distinguished by high flexibility with respect to skewness and tail behavior.

Suggested Citation

  • Elbatal Ibrahim & Merovci Faton, 2014. "A Note on a Generalization of the Exponentiated Pareto Distribution," Stochastics and Quality Control, De Gruyter, vol. 29(1), pages 1-11, June.
  • Handle: RePEc:bpj:ecqcon:v:29:y:2014:i:1:p:11:n:8
    DOI: 10.1515/eqc-2014-0008
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/eqc-2014-0008
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/eqc-2014-0008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rytgaard, Mette, 1990. "Estimation in the Pareto Distribution," ASTIN Bulletin, Cambridge University Press, vol. 20(2), pages 201-216, November.
    2. Krishnaji, N, 1970. "Characterization of the Pareto Distribution Through a Model of Underreported Incomes," Econometrica, Econometric Society, vol. 38(2), pages 251-255, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kenneth Gillingham & William D. Nordhaus & David Anthoff & Geoffrey Blanford & Valentina Bosetti & Peter Christensen & Haewon McJeon & John Reilly & Paul Sztorc, 2015. "Modeling Uncertainty in Climate Change: A Multi-Model Comparison," NBER Working Papers 21637, National Bureau of Economic Research, Inc.
    2. Saralees Nadarajah, 2009. "Models for over reported income," Applied Economics Letters, Taylor & Francis Journals, vol. 16(7), pages 699-703.
    3. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers 2311, Aix-Marseille School of Economics, France.
    4. Yogesh Tripathi & Somesh Kumar & Constantinos Petropoulos, 2016. "Estimating the shape parameter of a Pareto distribution under restrictions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(1), pages 91-111, January.
    5. Milan Stehlík & Rastislav Potocký & Helmut Waldl & Zdeněk Fabián, 2010. "On the favorable estimation for fitting heavy tailed data," Computational Statistics, Springer, vol. 25(3), pages 485-503, September.
    6. Arthur Charpentier & Emmanuel Flachaire, 2022. "Pareto models for top incomes and wealth," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 1-25, March.
    7. Philip Vermeulen, 2018. "How Fat is the Top Tail of the Wealth Distribution?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 357-387, June.
    8. Hans Buhlmann & Pavel V. Shevchenko & Mario V. Wuthrich, 2009. "A "Toy" Model for Operational Risk Quantification using Credibility Theory," Papers 0904.1772, arXiv.org.
    9. B. L. S. Prakasa Rao & T. Krishna Kumar, 2021. "On Some Characterizations of Probability Distributions with Applications in Econometrics: A Centennial Tribute to CR Rao," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 181-205, June.
    10. Arthur Charpentier & Emmanuel Flachaire, 2019. "Pareto Models for Top Incomes," Working Papers hal-02145024, HAL.
    11. Mohamed E. Ghitany & Emilio Gómez-Déniz & Saralees Nadarajah, 2018. "A New Generalization of the Pareto Distribution and Its Application to Insurance Data," JRFM, MDPI, vol. 11(1), pages 1-14, February.
    12. Walid Abu-Dayyeh & Aissa Assrhani & Kamarulzaman Ibrahim, 2013. "Estimation of the shape and scale parameters of Pareto distribution using ranked set sampling," Statistical Papers, Springer, vol. 54(1), pages 207-225, February.
    13. Lois Fonseca & Jeff Tayman, 1989. "Postcensal estimates of household income distributions," Demography, Springer;Population Association of America (PAA), vol. 26(1), pages 149-159, February.
    14. Sebastiano Michele Zema, 2023. "Uncovering the network structure of non-centrally cleared derivative markets: evidence from large regulatory data," Empirical Economics, Springer, vol. 65(4), pages 1799-1822, October.
    15. Pai, Jeffrey S., 1997. "Bayesian analysis of compound loss distributions," Journal of Econometrics, Elsevier, vol. 79(1), pages 129-146, July.
    16. G. Pederzoli & P. Rathie, 1980. "Distribution of product and quotient of Pareto variates," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 27(1), pages 165-169, December.
    17. A. Dallas, 1976. "Characterizing the pareto and power distributions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 28(1), pages 491-497, December.
    18. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman, 2018. "Optimal threshold for Pareto tail modelling in the presence of outliers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 169-180.
    19. Xekalaki, Evdokia & Panaretos, John, 1995. "Replenishing Stock Under Uncertainty," MPRA Paper 6261, University Library of Munich, Germany.
    20. Kim, Joseph H.T. & Jeon, Yongho, 2013. "Credibility theory based on trimming," Insurance: Mathematics and Economics, Elsevier, vol. 53(1), pages 36-47.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:ecqcon:v:29:y:2014:i:1:p:11:n:8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.