Multivariate Linear Errors in Variables Regression: A simulation Study of Bisector Technique on Three-Dimensional Space

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dc.authorid0000-0003-4662-8031en_US
dc.authorid0000-0002-8222-3384en_US
dc.contributor.authorSaracli, Sinan
dc.contributor.authorGazeloglu, Cengiz
dc.date.accessioned2021-01-05T08:07:05Z
dc.date.available2021-01-05T08:07:05Z
dc.date.issued2014en_US
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe aim of this study is to compare the performances of Type I and Type II multivariate regression techniques via Monte Carlo simulation. The earlier studies on Type II regression are all based on simple linear regression because the computations of multivariate Type II regression are more complex. This study is completed with three variables by taking each of them as a dependent variable respectively and then bisectional plane of couple of two variables are calculated. As a result of simulation study performance of Type II regression found best in all scenarios of the data sets according to MSE criteria. It’s hard to meet all assumptions of classical regression in real life. Most of the studies about regression analysis are done under some theoretical backgrounds. In this study we mainly interested in the assumption of error term that is just because of the one independent variable. In practice all of the variables in a study may include some measurement errors. In these situations one must consider the importance of Type II regression analysis.en_US
dc.identifier.citationSaracli, S., Gazeloglu, C. (2014).Multivariate Linear Errors in Variables Regression: A simulation Study of Bisector Technique on Three-Dimensional Space. Journal of Selcuk University Natural and Applied Science, 3, (1), 8-16.en_US
dc.identifier.endpage16en_US
dc.identifier.issn2147-3781en_US
dc.identifier.issue1en_US
dc.identifier.startpage8en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/40991
dc.identifier.volume3en_US
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofJournal of Selcuk University Natural and Applied Scienceen_US
dc.relation.publicationcategoryMakale - Ulusal - Editör Denetimli Dergien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectMeasurement Error Regressionen_US
dc.subjectType II Regressionen_US
dc.subjectMultivariate Regressionen_US
dc.subjectMonte Carlo Simulationen_US
dc.titleMultivariate Linear Errors in Variables Regression: A simulation Study of Bisector Technique on Three-Dimensional Spaceen_US
dc.typeArticleen_US

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