Evaluating the capacity of paired comparison methods to aggregate rankings of separate groups

Éva Orbán-Mihálykó (), Csaba Mihálykó () and László Gyarmati ()
Additional contact information
Éva Orbán-Mihálykó: University of Pannonia
Csaba Mihálykó: University of Pannonia
László Gyarmati: University of Pannonia

Central European Journal of Operations Research, 2024, vol. 32, issue 1, No 8, 109-129

Abstract: Abstract Ranking and rating methods have outstanding significance in sports, mainly due to their capacity to predict results. In this paper we turn to their capacity to aggregate separate groups’ rankings based on a small piece of information. We investigate under which conditions two or more separate groups can be trustworthily interwoven applying Thurstone motivated methods and an AHP based method. A theorem is proved which guarantees adequate unified ranking based on some links between the groups. We also analyse the robustness of the results.

Keywords: Aggregation; AHP; Bradley–Terry model; Evaluation of sports tournaments; Maximum likelihood estimation; Paired comparison; Thurstone method; Weighted LLSM (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10100-023-00839-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:cejnor:v:32:y:2024:i:1:d:10.1007_s10100-023-00839-3

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10100

DOI: 10.1007/s10100-023-00839-3

Access Statistics for this article

Central European Journal of Operations Research is currently edited by Ulrike Leopold-Wildburger

More articles in Central European Journal of Operations Research from Springer, Slovak Society for Operations Research, Hungarian Operational Research Society, Czech Society for Operations Research, Österr. Gesellschaft für Operations Research (ÖGOR), Slovenian Society Informatika - Section for Operational Research, Croatian Operational Research Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().