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. © 2013 Springer-Verlag.
CITATION STYLE
Gagolewski, M. (2013). Statistical hypothesis test for the difference between Hirsch indices of two pareto-distributed random samples. In Advances in Intelligent Systems and Computing (Vol. 190 AISC, pp. 359–367). Springer Verlag. https://doi.org/10.1007/978-3-642-33042-1_39
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