Permutation tests and multiple comparisons in the linear models and mixed linear models, with extension to experiments using electroencephalography

We introduce estimation and test procedures through divergence minimization for models satisfying linear constraints with unknown parameter.. Several statistical examples

[26], that when a solid obstacle with a nonzero given circulation is held fixed in a perfect incompressible fluid, with possibly nonzero vorticity, then in the limit the

– pour les ondes polarisées dans le plan sagittal, si la vitesse de Rayleigh dans la couche est inférieure à celle dans le substrat, des modes d’ordres supérieurs peuvent

Taken together, feminization upon gsdf disruption is not a consequence of male-to-female sex-reversal but rather results from ovarian differentiation in the absence of

Extension of the EM-algorithm using PLS to fit linear mixed effects models for high dimensional repeated dataI. Caroline Bazzoli, Sophie Lambert-Lacroix,

The problem of handling missing data in generalized linear mixed models with correlated covariates is considered when the missing mechanism con- cerns both the response variable and

By construction, the method MI-PLS proposed by Bastien (2008) will not take into account the random effect and then for assessing the contribution of our method we have

This paper deals with estimating an unknown vector θ ∈ R p in two simple linear models.. In order to simplify numerous technical details, it is assumed in what follows that the