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Characterization of fixed effects as special case of generalized random effects.
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2003 (English)In: Tatra Mountains Mathematical Publications, ISSN 1210 – 3195, Vol. 26, no 1, 169-174 p.Article in journal (Refereed) Published
Abstract [en]

The objective of this paper is to emphasize the common nature of fixed and random factors in a mixed linear statistical model. We show that factors can be classified into fixed and random factors by means of covariance matrices of their level effects. In particular, classical reparameterization conditions for fixed factors can be formulated in this way.

Place, publisher, year, edition, pages
Stockholm: Statistiska institutionen , 2003. Vol. 26, no 1, 169-174 p.
Keyword [en]
covariance matrix, reparameterization, factor levels, invariance
URN: urn:nbn:se:su:diva-7233OAI: diva2:197894
Available from: 2007-11-27 Created: 2007-11-27 Last updated: 2011-01-13Bibliographically approved

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