Modelling informetric data using quantile functions

N. Unnikrishnan Nair and B. Vineshkumar

Journal of Informetrics, 2022, vol. 16, issue 2

Abstract: In the present work, we propose some transformations of quantile functions in informetry. We derive some new properties of Leimkuhler curves using quantile functions. Several quantile function models are presented along with the measures useful in informetrics. Applications of quantile functions in modelling and analysis of bibliometric data are also discussed with the aid of real data sets.

Keywords: Quantile function; Leimkuhler curve; L-moments; Gini index; Bibliometric data (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:16:y:2022:i:2:s1751157722000189

DOI: 10.1016/j.joi.2022.101266

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