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Statistical Hypothesis Test for the Difference between Hirsch Indices of Two Pareto-Distributed Random Samples

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Synergies of Soft Computing and Statistics for Intelligent Data Analysis

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 190))

Abstract

In this paper we discuss the construction of a new parametric statistical hypothesis test for the equality of probability distributions. The test bases on the difference between Hirsch’s h-indices of two equal-length i.i.d. random samples. For the sake of illustration, we analyze its power in case of Pareto-distributed input data. It turns out that the test is very conservative and has wide acceptance regions, which puts in question the appropriateness of the h-index usage in scientific quality control and decision making.

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References

  1. David, H.A., Nagaraja, H.N.: Order Statistics. Wiley (2003)

    Google Scholar 

  2. Dubois, D., Prade, H., Testemale, C.: Weighted fuzzy pattern matching. Fuzzy Set. Syst. 28, 313–331 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  3. Gagolewski, M.: Bibliometric impact assessment with R and the CITAN package. J. Informetr. 5(4), 678–692 (2011)

    Article  Google Scholar 

  4. Gągolewski, M., Grzegorzewski, P.: Arity-Monotonic Extended Aggregation Operators. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds.) IPMU 2010. CCIS, vol. 80, pp. 693–702. Springer, Heidelberg (2010a)

    Chapter  Google Scholar 

  5. Gągolewski, M., Grzegorzewski, P.: S-Statistics and Their Basic Properties. In: Borgelt, C., González-Rodríguez, G., Trutschnig, W., Lubiano, M.A., Gil, M.Á., Grzegorzewski, P., Hryniewicz, O. (eds.) Combining Soft Computing and Statistical Methods in Data Analysis. AISC, vol. 77, pp. 281–288. Springer, Heidelberg (2010b)

    Chapter  Google Scholar 

  6. Gagolewski, M., Grzegorzewski, P.: Axiomatic characterizations of (quasi-) L-statistics and S-statistics and the producer assessment problem. In: Galichet, S., Montero, J., Mauris, G. (eds.) Proc. Eusflat/LFA 2011, pp. 53–58 (2011)

    Google Scholar 

  7. Grabisch, M., Pap, E., Marichal, J.L., Mesiar, R.: Aggregation Functions. Cambridge Univeristy Press (2009)

    Google Scholar 

  8. Hirsch, J.E.: An index to quantify individual’s scientific research output. P. Natl. Acad. Sci. USA 102(46), 16569–16572 (2005)

    Article  Google Scholar 

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Correspondence to Marek Gagolewski .

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Gagolewski, M. (2013). Statistical Hypothesis Test for the Difference between Hirsch Indices of Two Pareto-Distributed Random Samples. In: Kruse, R., Berthold, M., Moewes, C., Gil, M., Grzegorzewski, P., Hryniewicz, O. (eds) Synergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33042-1_39

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  • DOI: https://doi.org/10.1007/978-3-642-33042-1_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33041-4

  • Online ISBN: 978-3-642-33042-1

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