Abstract
A general paired comparison model for the evaluation of sport competitions is proposed. It efficiently uses the available information by allowing for ordered response categories and team-specific home advantage effects. Penalized estimation techniques are used to identify clusters of teams that share the same ability. The model is extended to include team-specific explanatory variables. It is shown that regularization techniques allow to identify the contribution of explanatory variables to the success of teams. The usefulness of the methods is demonstrated by investigating the performance and its dependence on the budget for football teams of the German Bundesliga.
| Item Type: | Journal article |
|---|---|
| Form of publication: | Publisher's Version |
| Faculties: | Mathematics, Computer Science and Statistics > Statistics > Chairs/Working Groups > Seminar for Applied Stochastic |
| Subjects: | 500 Science > 510 Mathematics |
| ISSN: | 1614-0176; 1863-818X |
| Language: | English |
| Item ID: | 43134 |
| Date Deposited: | 12. Apr 2018 13:42 |
| Last Modified: | 04. Nov 2020 13:18 |
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