Essential cookies keep the library working. With your permission, we'd also like to use analytics to see what's useful and improve the experience. Read our Privacy Policy or Cookie Policy.
Checking your access to this record.
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].
Copy in another style
Costa, J. P. D., & Roque, L. (2022). Limit Distribution for The Weighted Rank Correlation Coefficient, rw. Revstat-statistical Journal. https://doi.org/10.57805/revstat.v4i3.35
Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.
An‐An Zhang, Qiang Bian
In Journal of Future Foods
Haifeng Huang, Zhenrui Zhao
In International Journal of Corporate Social Responsibility
Т. М. Сабирова
In Hans Journal of Data Mining
Balgis Putri Prioni, Mega Mirasaputri Cahyanti
In Journal of Artificial Intelligence and Data Science