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Journal Article 1997

Autor: Duchateau, L. Kruska, R.L. Perry, Brian D.

Large databases with multiple variables, selected because they are available and might provide an insight into establishing causal relationships, are often difficult to analyse and interpret because of multicollinearity. The objective of this study was to reduce the dimensionality of a multivaria...

Enlace original: https://cgspace.cgiar.org/handle/10568/29499

Investigación en Agricultura
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Duchateau, L. ,  Kruska, R.L. ,  Perry, Brian D. ,  [Reducing a spatial database to its effective dimensionality for logistic - regression analysis of incidence of livestock disease] ,  Reducing a spatial database to its effective dimensionality for logistic - regression analysis of incidence of livestock disease
Conference Paper 1997

Autor: Duchateau, L.

Mixed models have important advantages as compared to fixed effects models. Complex data structures can be described in a natural way in mixed models. The analysis of unbalanced data is a straightforward extension of the analysis of balanced data in the mixed model framework. Furthermore, the app...

Enlace original: https://cgspace.cgiar.org/handle/10568/50295

Investigación en Agricultura
Enlace permanente
Duchateau, L. ,  [Comparing the mixed model and the fixed effects model: Do the advantages justify the costs?] ,  Comparing the mixed model and the fixed effects model: Do the advantages justify the costs?

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