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Generalized linear models with random effects: unified analysis via H-likelihood
Since their introduction in 1972, generalized linear models (GLMs) have proven useful in the generalization of classical normal models. Presenting methods for fitting GLMs with random effects to data, Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood explores a wide ra...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Taylor and Francis
2006
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Acceso en línea: | http://cds.cern.ch/record/1991481 |