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Analysis of linear models with two factors having both fixed and random levels

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dc.date.accessioned 2009-07-24 en
dc.date.accessioned 2016-12-04T19:23:16Z
dc.date.available 2016-12-04T19:23:16Z
dc.date.issued 2015-08-25 en
dc.identifier.uri http://hdl.handle.net/20.500.11910/4786
dc.description.abstract A general theory for a case where some factors have both fixed and random effect levels is developed under a two-way treatment structure model. This is an extension of a one factor with both fixed and random levels (Njuho & Milliken, 2005). We consider several alternative approaches for estimating the fixed effects and the variance components using mixed models. We propose conducting the analysis in stages depending on the hypothesis being tested. The computational procedures are illustrated using two numerical examples. en
dc.format.medium Print en
dc.subject ESTIMATION en
dc.subject MATHEMATICS en
dc.subject COMBINED MODELS en
dc.subject LINEAR MODELS en
dc.title Analysis of linear models with two factors having both fixed and random levels en
dc.type Journal Article en
dc.description.version Y en
dc.Volume 38 en
dc.BudgetYear 2009/10 en
dc.ResearchGroup Social Aspects of HIV/AIDS and Health en
dc.SourceTitle Communications in Statistics - Theory and Methods en
dc.ArchiveNumber 5920 en
dc.PageNumber 2348-2365 en
dc.outputnumber 4467 en
dc.bibliographictitle Njuho, P.M. & Milliken, G.A. (2009) Analysis of linear models with two factors having both fixed and random levels. <i>Communications in Statistics - Theory and Methods</i>. 38:2348-2365. en
dc.publicationyear 2009 en
dc.contributor.author1 Njuho, P.M. en
dc.contributor.author2 Milliken, G.A. en


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