Coolen-Maturi, T. (2016) 'New weighted rank correlation coefficients sensitive to agreement on top and bottom rankings.', Journal of applied statistics., 43 (12). pp. 2261-2279.
Abstract
Three new weighted rank correlation coefficients are proposed which are sensitive to both agreement on top and bottom rankings. The first one is based on the weighted rank correlation coefficient proposed by Maturi and Abdelfattah [13], the second and the third are based on the order statistics and the quantiles of the Laplace distribution, respectively. The limiting distributions of the new correlation coefficients under the null hypothesis of no association between the rankings are presented, and a summary of the exact and approximate quantiles for these coefficients is provided. A simulation study is performed to compare the performance of Kendall's tau, Spearman's rho, and the new weighted rank correlation coefficients in detecting the agreement on the top and the bottom rankings simultaneously. Finally, examples are given for illustration purposes, including a real data set from financial market indices.
| Item Type: | Article |
|---|---|
| Full text: | (AM) Accepted Manuscript Download PDF (645Kb) |
| Status: | Peer-reviewed |
| Publisher Web site: | http://dx.doi.org/10.1080/02664763.2016.1140726 |
| Publisher statement: | This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of Applied Statistics on 07/02/2016, available online at: http://www.tandfonline.com/10.1080/02664763.2016.1140726. |
| Date accepted: | 07 January 2016 |
| Date deposited: | 19 January 2016 |
| Date of first online publication: | 07 February 2016 |
| Date first made open access: | 07 February 2017 |
Save or Share this output
| Export: | |
| Look up in GoogleScholar |
