Limit Distribution for The Weighted Rank Correlation Coefficient, rw
DOI:
https://doi.org/10.57805/revstat.v4i3.35Keywords:
ranking, correlation, limit distributionAbstract
A weighted rank correlation coefficient, inspired by Spearman’s rank correlation coefficient, has been proposed recently by Pinto da Costa & Soares [5]. Unlike Spearman’s coefficient, which treats all ranks equally, rW weights the distance between two ranks using a linear function of those ranks, giving more importance to top ranks than lower ones. In this work we prove that rW has a gaussian limit distribution, using the methodology employed in [7].
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Copyright (c) 2006 REVSTAT-Statistical Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.