Variance Reduction with Monte Carlo Estimates of Error Rates in Multivariate Classification

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DC Field	Value	Language
dc.contributor.author	Calzolari, G.	de
dc.contributor.author	Röhl, M. C.	de
dc.contributor.author	Weihs, C.	de
dc.date.accessioned	2004-12-06T18:40:00Z	-
dc.date.available	2004-12-06T18:40:00Z	-
dc.date.issued	1999	de
dc.identifier.uri	http://hdl.handle.net/2003/4935	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-14543	-
dc.description.abstract	In this paper, control variates are proposed to speed up Monte Carlo Simulations to estimate expected error rates in multivariate classification.	en
dc.format.extent	193564 bytes	-
dc.format.extent	204371 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	classification	en
dc.subject	control variates	en
dc.subject	error rate	en
dc.subject	Monte Carlo Simulation	en
dc.subject	variance reduction	en
dc.subject.ddc	310	de
dc.title	Variance Reduction with Monte Carlo Estimates of Error Rates in Multivariate Classification	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 475

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