The Journal of Economic Inequality

, Volume 13, Issue 2, pp 321–324 | Cite as

Book Review of The Gini Methodology: A Primer on a Statistical Methodology

By Shlomo Yitzhaki and Edna Schechtman, Springer Series in Statistics, 2013. pp. 548. ISBN: 978-1-4614-4720-7 (hbk).
  • Ndéné Ka
  • Stéphane Mussard
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    Hoeffding, W.: A Class of Statistics with Asymptotically Normal Distribution. Ann. Math. Stat. 19(3), 293–325 (1948)CrossRefGoogle Scholar
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    Schechtman, E., Shelef, A.: A Gini-based Methodology for Analyzing Time Series. Mimeo (2011)Google Scholar
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    Serfling, R., Carcea, M.: A Gini Autocovariance Function for Heavy Tailed Time Series Modeling. Mimeo (2012)Google Scholar
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    Stuart, A.: The Correlation Between Variate-values and Ranks in Samples from a Continuous Distributions. Br. J. Stat. Psychol. 7, 37–44 (1954)CrossRefGoogle Scholar
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    Yitzhaki, S., Lambert, P.: The Relationship between the Absolute Deviation from a Quantile and Gini’s Mean Difference. Metron. 71, 97–104 (2013). Lameta, University of Montpellier I Ndéné Ka and Stéphane MussardCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ndéné Ka
    • 1
  • Stéphane Mussard
    • 1
  1. 1.LametaUniversity of Montpellier I

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