Modelling informetric data using quantile functions

作者：

Highlights：

• New properties of Leimkuhler curve using quantile functions.

• Several quantile function models for bibliometric data analysis.

• Relationship of Leimkuhler curve with L-moments, Gini index, reliability measures and economic measures.

• Analysis of SJR scores and H-index using quantile functions.

摘要

•New properties of Leimkuhler curve using quantile functions.•Several quantile function models for bibliometric data analysis.•Relationship of Leimkuhler curve with L-moments, Gini index, reliability measures and economic measures.•Analysis of SJR scores and H-index using quantile functions.

论文关键词：Quantile function,Leimkuhler curve,L-moments,Gini index,Bibliometric data

论文评审过程：Received 12 July 2021, Revised 11 February 2022, Accepted 16 February 2022, Available online 8 March 2022, Version of Record 8 March 2022.

论文官网地址：https://doi.org/10.1016/j.joi.2022.101266