Dr Tahani Coolen-Maturi tahani.maturi@durham.ac.uk
Associate Professor
New weighted rank correlation coefficients sensitive to agreement on top and bottom rankings
Coolen-Maturi, T.
Authors
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.
Citation
Coolen-Maturi, T. (2016). New weighted rank correlation coefficients sensitive to agreement on top and bottom rankings. Journal of Applied Statistics, 43(12), 2261-2279. https://doi.org/10.1080/02664763.2016.1140726
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 7, 2016 |
Online Publication Date | Feb 7, 2016 |
Publication Date | Sep 1, 2016 |
Deposit Date | Jan 15, 2016 |
Publicly Available Date | Feb 7, 2017 |
Journal | Journal of Applied Statistics |
Print ISSN | 0266-4763 |
Electronic ISSN | 1360-0532 |
Publisher | Taylor and Francis Group |
Peer Reviewed | Peer Reviewed |
Volume | 43 |
Issue | 12 |
Pages | 2261-2279 |
DOI | https://doi.org/10.1080/02664763.2016.1140726 |
Files
Accepted Journal Article
(660 Kb)
PDF
Copyright 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.
You might also like
A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference
(2022)
Journal Article
Pricing exotic options in the incomplete market: an imprecise probability method
(2022)
Journal Article
Statistical reproducibility for pairwise t-tests in pharmaceutical research
(2021)
Journal Article
Survival Signatures for System Reliability
(2021)
Book Chapter
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search