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dc.contributorWESTERN MICHIGAN UNIV KALAMAZOO DEPT OF MATHEMATICS
dc.contributor.authorSievers,G L
dc.date.accessioned2019-11-03T23:07:56Z
dc.date.available2019-11-03T23:07:56Z
dc.date.created2018-11-10 01:27
dc.date.issued1983-11
dc.identifieroai:ADA135850
dc.identifierhttp://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA135850
dc.identifier.urihttp://hdl.handle.net/20.500.12424/3092895
dc.description.abstractThe goal of this project was to conduct research in the development of nonparametric statistical methods based on rank statistics for the general linear model. Consideration was to be given to the use of a comprehensive framework to handle estimation, confidence regions and tests of hypotheses for a wide range of multiple regression and analysis of variance problems. Methods were sought which would be efficient and convenient to use in practice. The practical aspects of implementation for applied problems requires special attention in order that the methodology be direct in interpretation and computationally feasible.
dc.format.mediumtext/html
dc.languageen
dc.language.isoeng
dc.rightsAPPROVED FOR PUBLIC RELEASE
dc.sourceDTIC AND NTIS
dc.subjectInformation Science
dc.subjectStatistics and Probability
dc.subject*Nonparametric statistics
dc.subject*Mathematical models
dc.subject*Linearity
dc.subject*Abstracts
dc.subjectBibliographies
dc.subjectRank order statistics
dc.subjectStatistical processes
dc.subjectEstimates
dc.subjectResearch management
dc.subject*Linear models
dc.subjectWUNR042407
dc.titleResearch on Nonparametric Methods for Linear Models.
dc.typeText
ge.collectioncodeOAIDATA
ge.dataimportlabelOAI metadata object
ge.identifier.legacyglobethics:15883385
ge.identifier.permalinkhttps://www.globethics.net/gtl/15883385
ge.lastmodificationdate2018-11-10 01:27
ge.lastmodificationuseradmin@pointsoftware.ch (import)
ge.submissions0
ge.oai.exportid150051
ge.oai.repositoryid492
ge.oai.streamid5
ge.setnameGlobeTheoLib
ge.setspecglobetheolib
ge.linkhttp://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA135850


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