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Robust linear mixed models with normal/independent distributions and Bayesian MCMC implementation
(2003-01-01)
Linear mixed effects models have been widely used in analysis of data where responses are clustered around some random effects, so it is not reasonable to assume independence between observations in the same cluster. In ...
Robust linear mixed models with normal/independent distributions and Bayesian MCMC implementation
(2003-01-01)
Linear mixed effects models have been widely used in analysis of data where responses are clustered around some random effects, so it is not reasonable to assume independence between observations in the same cluster. In ...
Likelihood-based inference for linear mixed-effects models using the generalized hyperbolic distribution
(John Wiley and Sons Inc, 2023)
In this paper, we develop statistical methodology for the analysis of data under nonnormal distributions, in the context of mixed effects models. Although the multivariate normal distribution is useful in many cases, it ...
Influence of the dielectrophoretic force in mixed electrical double layers
(Elsevier Inc, 2013-05)
The equilibrium properties of a charged plane immersed in an aqueous electrolyte solution are examined using a generalized Poisson–Boltzmann equation that takes into account the finite ion size by modeling the solution as ...
Procedimento MIXED do SAS® para análise de modelos mistos
(Universidade de São Paulo (USP), Escola Superior de Agricultura Luiz de Queiroz (ESALQ), 2014)