Unbiased one-dimensional university ranking -- application-based preference ordering
Andras Telcs,
Zsolt Tibor Kosztyán and
Ádám Török
Journal of Applied Statistics, 2016, vol. 43, issue 1, 212-228
Abstract:
Our main goal is to produce a ranking technique which overcomes shortcomings of the numerous university rankings published. We propose a ranking method that provides a one-dimensional preference list of universities which is solely based on the partial rankings of applicants. Our ranking is free of subjective weights and uncomparable dimensions.
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2014.998180 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:43:y:2016:i:1:p:212-228
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20
DOI: 10.1080/02664763.2014.998180
Access Statistics for this article
Journal of Applied Statistics is currently edited by Robert Aykroyd
More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().