Main Page
About Science
Faculty Deanship
Letter of Dean
Overview of Deanship
Vice Deans
Vice Dean
Letter of Vice-dean
Overview of Vice-deanship
Vice Dean for Graduate Studies
Letter of Vice Dean for Graduate Studies
Overview of Vice Dean of Postgraduate Studies
Research and Innovation Unit
Vice Dean for Girls Campus
Faculty Management
Letter of Managing Director-Boys Campus
Letter of Managing Director-Girls Campus
Overview of Management
Educational Affairs
Males Campus
Staff
Females Campus
Contact Us
Research
عربي
English
About
Admission
Academic
Research and Innovations
University Life
E-Services
Search
Faculty of Sciences
Document Details
Document Type
:
Article In Journal
Document Title
:
A new weighted rank correlation
A new weighted rank correlation
Subject
:
Mathematics and Statistics
Document Language
:
English
Abstract
:
Problem Statement: There have been many cases in real life where two independent sources have ranked n objects, with the interest focused on agreement in the top rankings. Spearman's rho and Kendall's tau coefficients assigned equal weights to all rankings. As a result, the literature proposed several weighted correlation coefficients with emphasis on the top rankings, including the top-down, weighted Kendall's Tau and Blest's correlation coefficient. Approach: This article introduced a new weighted rank correlation coefficient that was sensitive to agreement in the top rankings. It presented the limiting distribution under the null hypothesis of independence and provided a summary of quantiles of the exact null distribution for n = 3(1)9. Results: The article summarized the power comparison between the new weighted coefficient and other weighted coefficients, and showed that the new weighted rank correlation coefficient provided the locally most powerful rank test. Conclusions/Recommendations: The new weighted correlation should be used along with other weighted coefficients when the interest focused on agreement in the top rankings, in order to make an effective inference. © 2008 Science Publications.
ISSN
:
1549-3644
Journal Name
:
Journal of Mathematics and Statistics, 4 (4), pp. 226-230
Volume
:
4
Issue Number
:
4
Publishing Year
:
2008 AH
2008 AD
Number Of Pages
:
5
Article Type
:
Article
Added Date
:
Thursday, October 15, 2009
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
تهاني عبدالصمد عامر مطيوري
Tahani A. Maturi
Researcher
Doctorate
tmaturi@kau.edu.sa
Ezz H. Abdelfattah
Ezz H. Abdelfattah
Researcher
Doctorate
Back To Researches Page