A general framework to quantify the event importance in multi-event contests

Goller, Daniel; Heiniger, Sandro (2022). A general framework to quantify the event importance in multi-event contests

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We propose a statistical framework for quantifying the importance of single events that do not provide intermediate rewards but offer implicit incentives through the reward structure at the end of a multi-event contest. Applying the framework to primary elections in the US, where earlier elections have greater importance and influence, we show that schedule variations can mitigate the problem of front-loading elections. When applied to European football, we demonstrate the utility and meaningfulness of quantified event importance in relation to the in-match performance of contestants, to improve outcome prediction and to provide an early indication of public interest.

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5 Citations in Web of Science ®
6 Citations in Scopus

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