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dc.date.accessioned2008-02-25T10:12:24Z
dc.date.available2008-02-25T10:12:24Z
dc.date.issued1994
dc.identifier.isbn0-7923-3136-2
dc.identifier.uriurn:nbn:de:hebis:34-2008022520462
dc.identifier.urihttp://hdl.handle.net/123456789/2008022520462
dc.format.extent887354 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherCaliński, Tadeusz (Hrsg.)eng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectConditionally contaminated linear modelseng
dc.subjectRobust estimationeng
dc.subjectA-optimal designseng
dc.subjectOptimal bias boundseng
dc.subjectMean squared erroreng
dc.subject.ddc510
dc.titleOptimal bias bounds for robust estimation in linear modelseng
dc.typeAufsatz
dcterms.accessRightsopen access
dcterms.bibliographicCitationIn: Caliński, Tadeusz (Hrsg.): Proceedings of the International Conference on Linear Statistical Inference LINSTAT '93. Dordrecht : Kluwer, 1994. S. 97-102
dcterms.creatorMüller, Christine
dcterms.isPartOfMathematics and its applicationseng
dcterms.isPartOf306eng
dc.description.etExternger
dcterms.source.seriesMathematics and its applications
dcterms.source.volume306


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