Multivariate Regression in Complex Survey Design

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dc.contributor.authorOyeyemi, G. M.
dc.contributor.authorAdewara, A. A.
dc.contributor.authorIge, O. S.
dc.contributor.authorIbraheem, B. A.
dc.date.accessioned2023-07-19T14:04:18Z
dc.date.available2023-07-19T14:04:18Z
dc.date.issued2009
dc.description.abstractIn multivariate regression analysis of complex survey design, adjustment for both stratification and clustering variable depends on whether the variables are exogenous or endogenous in the model. Adjustments are found to be necessary if the variables are exogenous in the models, especially adjustment for clustering is found to be more important than that of stratificationen_US
dc.description.sponsorshipSelf-sponsoreden_US
dc.identifier.citationICASTOR Journal of Mathematical Sciencesen_US
dc.identifier.issn0974-1958
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11574
dc.language.isoenen_US
dc.publisherInternational Center for Advance Studies, Indiaen_US
dc.relation.ispartofseries3(1);63 - 71
dc.subjectAdjustment, Complex survey, Endogenous, Exogenous, Cluster, Strataen_US
dc.titleMultivariate Regression in Complex Survey Designen_US
dc.typeArticleen_US

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