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Regression analysis with a dtochastic design variable

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dc.contributor.author Sazak, Hakan
dc.contributor.author Tiku, Moti L.
dc.contributor.author S., Hakan
dc.contributor.author Islam, M. Qamarul
dc.date.accessioned 2016-04-01T11:05:00Z
dc.date.available 2016-04-01T11:05:00Z
dc.date.issued 2006-04
dc.identifier.citation Sazak, H., Tiko, ML., Islam, MQ. (2006). Regression analysis with a dtochastic design variable. International Statistical Review, 74(1), 77-88. tr_TR
dc.identifier.issn 0306-7734
dc.identifier.uri http://hdl.handle.net/20.500.12416/819
dc.description.abstract In 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 given tr_TR
dc.description.abstract In 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 given tr_TR
dc.language.iso eng tr_TR
dc.publisher In Statistical Inst tr_TR
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Stochastic Design tr_TR
dc.subject Non-Normality tr_TR
dc.subject Modified Likelihood tr_TR
dc.subject Least Squares tr_TR
dc.subject Correlation Coefficient tr_TR
dc.subject Hypothesis Testing tr_TR
dc.title Regression analysis with a dtochastic design variable tr_TR
dc.type article tr_TR
dc.relation.journal International Statistical Review tr_TR
dc.identifier.volume 74 tr_TR
dc.identifier.issue 1 tr_TR
dc.identifier.startpage 77 tr_TR
dc.identifier.endpage 88 tr_TR
dc.contributor.department Çankaya Üniversitesi, İktisadi İdari Bilimler Fakültesi, Ekonomi Bölümü tr_TR


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