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231226s2021 xx |||||o 00| ||eng c |
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|a 10.1080/02664763.2020.1795819
|2 doi
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|a DE-627
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|a eng
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|a Chen, Tao
|e verfasserin
|4 aut
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|a Identifying key factors in momentum in basketball games
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|c 2021
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 16.07.2022
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|a published: Electronic-eCollection
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|a Citation Status PubMed-not-MEDLINE
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|a © 2020 Informa UK Limited, trading as Taylor & Francis Group.
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|a Momentum as elaborated under a recent novel definition has been shown quantitatively to have a significant impact on basketball game outcomes. This paper makes two contributions to the analytical literature on sports momentum: (1) two aspects of the new definition are operationalized so that its practicality becomes evident; and (2) through a dimension-reduction technique (elastic net), key factors associated with momentum are identified. Both technical variables such as field goals, assists, rebounds, etc. and environmental variables such as the spectator attendance rate and player salary dispersion are considered, and the potential for useful real-time analyzes is illustrated
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|a Journal Article
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|a 62-07
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|a 62P99
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|a Basketball
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|a Gini coefficient
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| 650 |
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|a attendance rate
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|a elastic net
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| 650 |
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4 |
|a momentum
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| 700 |
1 |
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|a Fan, Qingliang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liu, Kai
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Le, Lingshan
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of applied statistics
|d 1991
|g 48(2021), 16 vom: 09., Seite 3116-3129
|w (DE-627)NLM098188178
|x 0266-4763
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| 773 |
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|g volume:48
|g year:2021
|g number:16
|g day:09
|g pages:3116-3129
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|u http://dx.doi.org/10.1080/02664763.2020.1795819
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