Evaluating Probability Forecasts in Terms of Refinement and Strictly Proper Scoring Rules

dc.contributor.author	Krämer, Walter	de
dc.date.accessioned	2004-12-06T18:41:12Z
dc.date.available	2004-12-06T18:41:12Z
dc.date.issued	2003	de
dc.description.abstract	This note gives an easily verified necessary and sufficient condition for one probability forecaster to empirically outperform another one in terms of all strictly proper scoring rules.	en
dc.format.extent	83054 bytes
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2003/4986
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-2757
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	probability forecasts	en
dc.subject	scoring rules	en
dc.subject	refinement	en
dc.subject.ddc	310	de
dc.title	Evaluating Probability Forecasts in Terms of Refinement and Strictly Proper Scoring Rules	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access
eldorado.dnb.deposit	true

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