Multivariate Leimkuhler Curve: Properties and Applications to Analysis of Bibliometric Data

Shifna P. R. (), N. Unnikrishnan Nair () and S. M. Sunoj ()
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Shifna P. R.: Cochin University of Science and Technology
N. Unnikrishnan Nair: Cochin University of Science and Technology
S. M. Sunoj: Cochin University of Science and Technology

Sankhya A: The Indian Journal of Statistics, 2024, vol. 86, issue 2, No 12, 999-1024

Abstract: Abstract The Leimkuhler curve has established itself as an efficient tool in the analysis and comparison of concentration of bibliometric measures of productivity from different sources. Inspite of a considerable volume of literature emerging on multivariate analysis of informetric data, a multivariate version of the Leimkuhler curve does not appear to have been considered so far. In the present work we propose a multivariate Leimkuhler curve and study some of its properties. The use of our results is illustrated by analyzing multivariate informetric data.

Keywords: Multivariate Leimkuhler curve; Gini index; Multivariate quantile functions; 62H99 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13171-024-00363-9

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