Skip to main content
Log in

Bonferroni and Gini indices for various parametric families of distributions

  • Published:
METRON Aims and scope Submit manuscript

Summary

The Bonferroni index (BI) and Bonferroni curve (BC) have assumed relief not only in economics to study income and poverty, but also in other fields like reliability, demography, insurance and medicine. Besides, the increasingly frequent comparison with the Lorenz curve (LC) and Gini index (GI) both in theoretical and applied studies has driven us to derive explicit expressions for BI, BC, GI and LC for some thirty five continuous distributions. It is expected that these expressions could provide a useful reference and encourage further research within the aforementioned fields.

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

  • Aaberge, R. (2000) Characterizations of Lorenz curves and income distributions, Social Choice andWelfare, 17, 639–653.

    Article  MATH  Google Scholar 

  • Aaberge, R. (2007) Gini’s nuclear family, Journal of Economic Inequality, 5, 305–322.

    Article  Google Scholar 

  • Aaberge, R., Bjerve, S. and Doksum, K. (2005) Decomposition of rank-dependent measures ofinequality by subgroups, Metron, LXIII, 493–503.

    MathSciNet  MATH  Google Scholar 

  • Aitchison, J. and Brown, J. A. C. (1957) The Lognormal Distribution, Cambridge UniversityPress, Cambridge. aiBenedetti, C. (1986) Sulla interpretazione benesseriale di noti indici di concentrazione e di altri,Metron, XLIV, 421–429.

    Google Scholar 

  • Bonferroni, C.E. (1930) Elementi di Statistica Generale, Seeber, Firenze.

    Google Scholar 

  • Chakravarty, S.R. (2007) A deprivation-based axiomatic characterization of the absolute Bonferroniindex of inequality, Journal of Economic Theory, 5, 339–351.

    Google Scholar 

  • Chakravarty, S.R. and Muliere, P. (2004) Welfare indicators: a review and new perspectives.2. measurement of poverty, Metron, LXII, 247–281.

    MathSciNet  Google Scholar 

  • Csorgo, M., Gastwirth, J. L. and Zitikis, R. (1998) Asymptotic confidence bands for the Lorenzand Bonferroni curves based on the empirical Lorenz curve, Journal of Statistical Planningand Inference, 74, 65–91.

    Article  MathSciNet  Google Scholar 

  • De Vergottini, M. (1950) Sugli indici di concentrazione, Statistica, 10,445–454.

    Google Scholar 

  • Freimer, M., Mudholkar, G. S., Kollia, G. and Lin, C. T. (1988) A study of the generalizedTukey lambda family, Communications in Statistics—Theory and Methods, 17, 3547–3567.

    Article  MathSciNet  MATH  Google Scholar 

  • Gini, C. (1914) Sulla misura della concentrazione e della variabilità deicaratteri,Atti del Reale IstitutoVeneto di Scienze, Lettere ed Arti, LXXIII, 1203–1248. (English translation in Metron, LXIII,3-38.)

    Google Scholar 

  • Giorgi, G.M. (2001) Corrado Gini (1884-1965), In: Statisticians of the Centuries, (Editors C.Hydeand E. Seneta), Springer, New York, 364–368.

    Chapter  Google Scholar 

  • Giorgi, G.M. and Crescenzi, M. (2001a) Bayesian estimation of the Bonferroni index in a Pareto-typeI population, Statistical Methods and Applications, 10, 41–48.

    Article  MATH  Google Scholar 

  • Giorgi, G.M. and Crescenzi, M. (2001b) A look at the Bonferroni inequality measure in a reliabilityframework, Statistica, LXI, 571–583.

    MathSciNet  Google Scholar 

  • Giorgi, G.M. and Crescenzi, M. (2001c) A proposal of poverty measures based on the Bonferroniinequality index, Metron, LIX, 3–15.

    MathSciNet  Google Scholar 

  • Giorgi, G.M. and Mondani, R. (1994) The exact sampling distribution of the Bonferroni concentrationindex, Metron, LII, 5–41.

    MathSciNet  Google Scholar 

  • Giorgi, G. M. and Mondani, R. (1995) Sampling distribution of the Bonferroni inequality indexfrom exponential population, Sankhyā, B, 57,10-18.

  • Gradshteyn, I. S. and Ryzhik, I. M. (2000)Table of Integrals, Series, and Products, sixth edition.Academic Press, San Diego.

    MATH  Google Scholar 

  • Hankin, R. K. S. and Lee, A. (2006) A new family of non-negative distributions, Australian andNew Zealand Journal of Statistics, 48, 67–78.

    Article  MathSciNet  MATH  Google Scholar 

  • Hassanein K.M. and Brown, E. F. (2003) Estimation of Bonferroni and total time on test curveusing optimally selected order statistics in large samples, Journal of Statistical Research, 37,31–42.

    MathSciNet  Google Scholar 

  • Kumaraswamy, P. (1980) A generalized probability density function for double-bounded randomprocesses, Journal of Hydrology, 46, 79–88.

    Article  Google Scholar 

  • Nygard, F. and Sandstrom, A. (1981) Measuring Income Inequality, Almqvist and Wiksell International,Stockholm.

  • Piesch, W. (1975) Statistische Konzentrationsmasse, J. B. C. Mohr (Paul Siebeck), Tübingen.

  • Prudnikov, A. P., Brychkov, Y. A. and Marichev, O. I. (1986) Integrals and Series, volumes1, 2 and 3. Gordon and Breach Science Publishers, Amsterdam.

    Google Scholar 

  • Pundir, S., Arora, S. and Jain, K. (2005) Bonferroni curve and the related statistical inference,Statistics and Probability Letters, 75, 140–150.

    Article  MathSciNet  MATH  Google Scholar 

  • Ramberg, J. S. and Schmeiser, B. W. (1974) An approximate method for generating asymmetricrandom variables, Communications of the ACM, 17, 78–82.

    Article  MathSciNet  MATH  Google Scholar 

  • Ryu, H. K. (2008) Maximum entropy estimation of income distributions from Bonferroni indices,In: Modelling Income Distributions and Lorenz Curves (Editor D. Chotikapanich), SpringerVerlag, New York, 193–210.

    Chapter  Google Scholar 

  • Stoppa, G. (1990) A new model for income size distributions, In: Income and Wealth Distribution,Inequality and Poverty (Editors C. Dagum and M. Zenga), Springer Verlag, Berlin, 33–41.

    Chapter  Google Scholar 

  • Tarsitano, A. (1990) The Bonferroni index of income inequality, In: Income and Wealth Distribution,Inequality and Poverty (Editors C. Dagum and M. Zenga), Springer Verlag, Berlin, 228–242.

    Chapter  Google Scholar 

  • Topp, C.W. and Leone, F. C. (1955) A family of J-shaped frequency functions., Journal of theAmerican Statistical Association, 50, 209–219.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giovanni Maria Giorgi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Giorgi, G.M., Nadarajah, S. Bonferroni and Gini indices for various parametric families of distributions. METRON 68, 23–46 (2010). https://doi.org/10.1007/BF03263522

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03263522

Key Words

Navigation