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Density estimation with Haar series

dc.contributor.authorEngel, Joachimen_US
dc.date.accessioned2006-04-10T13:50:25Z
dc.date.available2006-04-10T13:50:25Z
dc.date.issued1990-02en_US
dc.identifier.citationEngel, Joachim (1990/02)."Density estimation with Haar series." Statistics &amp; Probability Letters 9(2): 111-117. <http://hdl.handle.net/2027.42/28731>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V1D-45DB162-1P/2/ae15524a7529e6da44569b6e0c9d2da2en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/28731
dc.description.abstractRate of convergence for density estimators based on Haar series are derived under very mild condition: the unknown density has to be of bounded variation. These estimators are histograms on dyadic intervals.en_US
dc.format.extent436639 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleDensity estimation with Haar seriesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Statistics, University of Michigan, 1450 Mason Hall, Ann Arbor, MI 48109-1027, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/28731/1/0000557.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0167-7152(92)90003-Nen_US
dc.identifier.sourceStatistics &amp; Probability Lettersen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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