| Autor: |
Bassett Jr, Gilbert W. |
| Předmět: |
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| Zdroj: |
Statistical Modelling: An International Journal; 2007, Vol. 7 Issue 4, p301-313, 13p, 5 Charts |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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