On the Multicollinearity Problem

dc.contributor.authorTahani Ali Esmail Adam
dc.date.accessioned2019-01-13T10:48:35Z
dc.date.available2019-01-13T10:48:35Z
dc.date.issued2018-12
dc.description.abstractThis paper investigates, through a simulation experiment, the effect of multicollinearity on the bias and efficiency of the estimates of the parameters when the degree of linear correlation among the explanatory variables, population variance and sample size vary.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/13932
dc.language.isoenen_US
dc.publisherDEANSHIP OF SCIENTIFIC RESEARCHen_US
dc.relation.ispartofseriesNO:21;
dc.subjectmulticollinearityen_US
dc.subjectefficiencyen_US
dc.subjectbiasen_US
dc.titleOn the Multicollinearity Problemen_US
dc.typeArticleen_US

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