IDEAS home Printed from
   My bibliography  Save this article

Old and new methods of estimation and the pareto distribution


  • R. Quandt


No abstract is available for this item.

Suggested Citation

  • R. Quandt, 1966. "Old and new methods of estimation and the pareto distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 10(1), pages 55-82, December.
  • Handle: RePEc:spr:metrik:v:10:y:1966:i:1:p:55-82
    DOI: 10.1007/BF02613419

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

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

    References listed on IDEAS

    1. Emad-Eldin Aly & Subhash Kochar, 1994. "On testing for independence against right tail increasing in bivariate models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 41(1), pages 211-225, December.
    2. Goovaerts, M. J. & Kaas, R., 1991. "Evaluating Compound Generalized Poisson Distributions Recursively," ASTIN Bulletin: The Journal of the International Actuarial Association, Cambridge University Press, vol. 21(02), pages 193-198, November.
    3. De Vylder, F., 1985. "Non-linear regression in credibility theory," Insurance: Mathematics and Economics, Elsevier, vol. 4(3), pages 163-172, July.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2016. "Using The Pareto Distribution To Improve Estimates Of Topcoded Earnings," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1263-1273, April.
    2. Francesco Andreoli & Eugenio Peluso, 2017. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," DISCE - Working Papers del Dipartimento di Economia e Finanza def055, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    3. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
    4. Carlo Bianchi & Pasquale Cirillo & Mauro Gallegati & Pietro Vagliasindi, 2007. "Validating and Calibrating Agent-Based Models: A Case Study," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 245-264, October.
    5. Goerlich, Francisco José & Mas, Matilde, 2008. "Sobre el tamaño de las ciudades en España. Dos reflexiones y una regularidad empírica," MPRA Paper 15798, University Library of Munich, Germany, revised Jun 2008.
    6. Stephen P. Jenkins, 2017. "Pareto Models, Top Incomes and Recent Trends in UK Income Inequality," Economica, London School of Economics and Political Science, vol. 84(334), pages 261-289, April.
    7. Daniel R. Feenberg & James M. Poterba, 1993. "Income Inequality and the Incomes of Very High-Income Taxpayers: Evidence from Tax Returns," NBER Chapters,in: Tax Policy and the Economy, Volume 7, pages 145-177 National Bureau of Economic Research, Inc.
    8. ANDREOLI Francesco & PELUSO Eugenio, 2017. "So close yet so unequal: Spatial inequality in American cities," LISER Working Paper Series 2017-11, LISER.
    9. Sebastien TERRA, 2009. "Zipf's Law for Cities: On a New Testing Procedure," Working Papers 200920, CERDI.
    10. Hai-Lin Lu & Shin-Hwa Tao, 2007. "The Estimation of Pareto Distribution by a Weighted Least Square Method," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 913-926, December.
    11. H. Malik, 1970. "Estimation of the parameters of the Pareto distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 15(1), pages 126-132, December.
    12. H. Malik, 1970. "Distribution of product statistics from a Pareto population," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 15(1), pages 19-22, December.
    13. Wang, Yuanjun & You, Shibing, 2016. "An alternative method for modeling the size distribution of top wealth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 443-453.
    14. 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.

    More about this item


    Access and download statistics


    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:spr:metrik:v:10:y:1966:i:1:p:55-82. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.