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  • ÇÐÁ¦°£¿¬±¸ | Interdisciplinary Studies in Gambling | Î¥学Ρ研ϼ

    date : 2015-05-20 01:10|hit : 1409
    Article; Proceedings Paper] Quantile regression for rating teams
    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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