Linear Inference for Paired Comparisons
Annis David H. and
Davis J. Wade
Additional contact information
Annis David H.: Wachovia Bank
Davis J. Wade: University of Missouri
Journal of Quantitative Analysis in Sports, 2008, vol. 4, issue 4, 14
Abstract:
In this paper, we propose a team rating system that accounts for differences in strength of schedule by computing an additive correction factor which adjusts team winning percentage. This approach permits teams to be ranked appropriately despite disparate schedules. Our method is easy to compute as it only requires a simple matrix inversion, and we prove that the needed inverse exists for all reasonable classes of schedules. We also prove some mathematical properties of the ratings system and apply our method to data from the 2007 Major League Baseball season.
Keywords: paired comparison; linear ranking; winning percentage (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2202/1559-0410.1126 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:jqsprt:v:4:y:2008:i:4:n:3
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html
DOI: 10.2202/1559-0410.1126
Access Statistics for this article
Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman
More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Bibliographic data for series maintained by Peter Golla ().