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Regression analysis with a dtochastic design variable

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dc.contributor.authorSazak, Hakan
dc.contributor.authorTiku, Moti L.
dc.contributor.authorS., Hakan
dc.contributor.authorIslam, M. Qamarul
dc.date.accessioned2016-04-01T11:05:00Z
dc.date.available2016-04-01T11:05:00Z
dc.date.issued2006
dc.departmentÇankaya Üniversitesi, İktisadi İdari Bilimler Fakültesi, Ekonomi Bölümüen_US
dc.description.abstractIn regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such situations are considered. Real life examples are givenen_US
dc.description.abstractIn regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such situations are considered. Real life examples are givenen_US
dc.description.publishedMonth4
dc.identifier.citationSazak, H., Tiko, ML., Islam, MQ. (2006). Regression analysis with a dtochastic design variable. International Statistical Review, 74(1), 77-88.en_US
dc.identifier.endpage88en_US
dc.identifier.issn0306-7734
dc.identifier.issue1en_US
dc.identifier.startpage77en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/819
dc.identifier.volume74en_US
dc.language.isoenen_US
dc.publisherIn Statistical Insten_US
dc.relation.ispartofInternational Statistical Reviewen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectStochastic Designen_US
dc.subjectNon-Normalityen_US
dc.subjectModified Likelihooden_US
dc.subjectLeast Squaresen_US
dc.subjectCorrelation Coefficienten_US
dc.subjectHypothesis Testingen_US
dc.titleRegression analysis with a dtochastic design variabletr_TR
dc.titleRegression Analysis With a Dtochastic Design Variableen_US
dc.typeArticleen_US
dspace.entity.typePublication

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