Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30065
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorWang, X-
dc.creatorYou, Y-
dc.creatorLiu, X-
dc.creatorShi, W-
dc.date.accessioned2014-12-19T07:09:18Z-
dc.date.available2014-12-19T07:09:18Z-
dc.identifier.issn1000-050X-
dc.identifier.urihttp://hdl.handle.net/10397/30065-
dc.language.isozhen_US
dc.publisher武汉大学期刋社en_US
dc.subjectCommon-pointsen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectOverlapped-coverageen_US
dc.subjectVariance components estimationen_US
dc.subjectWishart distributionen_US
dc.titleMaximum likelihood estimation for variance of GIS overlapped coverageen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage892-
dc.identifier.epage895-
dc.identifier.volume30-
dc.identifier.issue10-
dcterms.abstractTaking on Wishart distribution function as likelihood function, this paper represents a maximum likelihood estimation of variance components of every coverage aimed at common points in the overlapped coverage. The method can estimate the unknown parameters and variance components independent of remnant errors and iterative computation.-
dcterms.bibliographicCitation武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University), 2005, v. 30, no. 10, p. 892-895-
dcterms.isPartOf武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University)-
dcterms.issued2005-
dc.identifier.scopus2-s2.0-27744599472-
dc.identifier.eissn1671-8860-
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