A dimension reduction technique for estimation in linear mixed models
This paper proposes a dimension reduction technique for estimation in linear mixed models. Specifically,we show that in a linear mixed model, the maximum-likelihood (ML) problem can be rewritten as a substantially simpler optimization problem which presents at least two main advantages: the number o...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2012
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10174/4702 |
| País: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/4702 |