Comparing the mixed model and the fixed effects model: Do the advantages justify the costs?
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 approp...
| Autor principal: | |
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| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
International Biometric Society
1997
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| Acceso en línea: | https://hdl.handle.net/10568/50295 |
| _version_ | 1855541268632829952 |
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| author | Duchateau, L. |
| author_browse | Duchateau, L. |
| author_facet | Duchateau, L. |
| author_sort | Duchateau, L. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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 appropriate inference space can be chosen in the mixed model. We further try to answer the question whether the advantages of the mixed model outweigh the cost one has to pay to use this methodology in the context of developing countries. |
| format | Conference Paper |
| id | CGSpace50295 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1997 |
| publishDateRange | 1997 |
| publishDateSort | 1997 |
| publisher | International Biometric Society |
| publisherStr | International Biometric Society |
| record_format | dspace |
| spelling | CGSpace502952021-08-09T07:47:39Z Comparing the mixed model and the fixed effects model: Do the advantages justify the costs? Duchateau, L. models developing countries costs statistical methods statistical data 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 appropriate inference space can be chosen in the mixed model. We further try to answer the question whether the advantages of the mixed model outweigh the cost one has to pay to use this methodology in the context of developing countries. 1997 2014-10-31T06:09:02Z 2014-10-31T06:09:02Z Conference Paper https://hdl.handle.net/10568/50295 en Limited Access International Biometric Society |
| spellingShingle | models developing countries costs statistical methods statistical data Duchateau, L. Comparing the mixed model and the fixed effects model: Do the advantages justify the costs? |
| title | Comparing the mixed model and the fixed effects model: Do the advantages justify the costs? |
| title_full | Comparing the mixed model and the fixed effects model: Do the advantages justify the costs? |
| title_fullStr | Comparing the mixed model and the fixed effects model: Do the advantages justify the costs? |
| title_full_unstemmed | Comparing the mixed model and the fixed effects model: Do the advantages justify the costs? |
| title_short | Comparing the mixed model and the fixed effects model: Do the advantages justify the costs? |
| title_sort | comparing the mixed model and the fixed effects model do the advantages justify the costs |
| topic | models developing countries costs statistical methods statistical data |
| url | https://hdl.handle.net/10568/50295 |
| work_keys_str_mv | AT duchateaul comparingthemixedmodelandthefixedeffectsmodeldotheadvantagesjustifythecosts |