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- Article; Proceedings Paper] Quantile regression for rating teams
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DocNo of ILP: 4057
Doc. Type: Article; Proceedings Paper
Title: Quantile regression for rating teams
Authors: Bassett, GW
Full Name of Authors: Bassett, Gilbert W., Jr.
Keywords by Author: handicaps; odds; point spreads; quantile regression; sports ratings
Keywords Plus: ERRORS
Abstract: Quantile regression is proposed for modeling game outcomes and as the basis for rating teams. The model includes the standard location model for team strength as a special case, while allowing for a richer specification in which teams differ according to the quantiles of the outcome distribution. Team ratings are defined as the handicap needed to equalize the outcome of a contest. With teams differing by quantiles, this leads to a class of ratings that depend on where in the outcome distribution the outcome is equalized. Relationships with betting games are discussed. The approach is illustrated by rating National Football League (NFL) teams based on game results for the 2005 season.
Cate of OECD: Mathematics
Year of Publication: 2007
Business Area: game
Detail Business: game
Country: England
Study Area: Evaluation, regression, regression
Name of Journal: STATISTICAL MODELLING
Language: English
Country of Authors: Univ Illinois, Dept Finance, Chicago, IL 60607 USA
Press Adress: Bassett, GW (reprint author), Univ Illinois, Dept Finance, 601 S Morgan MC 168, Chicago, IL 60607 USA.
Email Address: gib@uic.edu
Citaion:
Funding:
Lists of Citation: BASSETT GW, 1981, J POLITICAL EC, V80, P752; Bassett GW, 1997, AM STAT, V51, P99, DOI 10.2307/2685396; David H., 1988, METHOD PAIRED COMPAR; Frey J, 2005, AM STAT, V59, P207, DOI 10.1198/000313005X54883; HARVILLE D, 1977, J AM STAT ASSOC, V72, P278; KOENKER R, 1978, ECONOMETRICA, V46, P33, DOI 10.2307/1913643; Koenker R, 2001, J ECON PERSPECT, V15, P143, DOI 10.1257/jep.15.4.143; Koenker R., 2005, QUANTILE REGRESSION; KOENKER R, 1984, STAT PROBABIL LETT, V2, P323, DOI 10.1016/0167-7152(84)90040-3; Stern H. S., 1995, CHANCE, V8, P7; Stern HS, 2004, AM STAT, V58, P179, DOI 10.1198/000313004X2098
Number of Citaion: 11
Publication: SAGE PUBLICATIONS LTD
City of Publication: LONDON
Address of Publication: 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
ISSN: 1471-082X
29-Character Source Abbreviation: STAT MODEL
ISO Source Abbreviation: Stat. Model.
Volume: 7
Version: 4
Start of File: 301
End of File: 313
DOI: 10.1177/1471082X0700700402
Number of Pages: 13
Web of Science Category: Statistics & Probability
Subject Category: Mathematics
Document Delivery Number: 265GS
Unique Article Identifier: WOS:000253347700002
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