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Asymptotically optimal sequential estimation of regular functionals of several distributions based on generalized U-statistics

dc.contributor.authorWilliams, George W.en_US
dc.contributor.authorSen, Pranab Kumaren_US
dc.date.accessioned2006-04-17T16:33:10Z
dc.date.available2006-04-17T16:33:10Z
dc.date.issued1973-12en_US
dc.identifier.citationWilliams, George W., Sen, Pranab Kumar (1973/12)."Asymptotically optimal sequential estimation of regular functionals of several distributions based on generalized U-statistics." Journal of Multivariate Analysis 3(4): 469-482. <http://hdl.handle.net/2027.42/33765>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WK9-4CRMBMF-MH/2/3519e111e18a409d19ee8cff9d1f883fen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/33765
dc.description.abstractFor the several sample problem, a vector of estimable parameters is considered. For a fixed total sample size, a multistage (sequential) procedure based on generalized U-statistics is developed for choosing a partition of this sample size into individual sample size for which the generalized variance of the estimator of the parameter vector is asymptotically minimized.en_US
dc.format.extent663541 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleAsymptotically optimal sequential estimation of regular functionals of several distributions based on generalized U-statisticsen_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.affiliationumUniversity of Michigan, Ann Arbor, Michigan 48104, USAen_US
dc.contributor.affiliationotherUniversity of North Carolina, Chapel Hill, North Carolina 27514, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/33765/1/0000017.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0047-259X(73)90035-3en_US
dc.identifier.sourceJournal of Multivariate Analysisen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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