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dc.contributor.advisorAlan S. Willsky.en_US
dc.contributor.authorDaniel, Michael Men_US
dc.date.accessioned2005-08-18T18:18:02Z
dc.date.available2005-08-18T18:18:02Z
dc.date.copyright1997en_US
dc.date.issued1997en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/10749
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.en_US
dc.descriptionIncludes bibliographical references (p. 205-211).en_US
dc.description.statementofresponsibilityby Michael M. Daniel.en_US
dc.format.extent211 p.en_US
dc.format.extent17966528 bytes
dc.format.extent17966284 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Scienceen_US
dc.titleMultiresolution statistical modeling with application to modeling groundwater flowen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc36892259en_US


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