Inference about multiplicative heteroskedastic components of variance in a mixed linear Gaussian model with an application to beef cattle breeding

Summary - The analysis of threshold models with fixed and random effects and associated variance components is discussed from the perspective of generalized linear mixed

The Laplacian procedure for finding the mode of the marginal posterior distribution of a single variance component in a Poisson mixed model was found to be

on Gibbs means were almost exactly 1 for fixed, additive genetic and permanent environ- mental effects. In CASE II, variances were treated as unknown, with a

In this paper, the Gibbs sampler, a numerical procedure for generating marginal distri- butions from conditional distributions, is employed to obtain marginal

A marginal quasi-likelihood approach to the analysis of Poisson variables with generalized linear mixed

Outre le fait que cela n'est pas des plus cohérent, .cela peut être dommageable pour l'individu, étant donné que le droit d'accès qui est mis en place par la

To our best knowledge, this paper is the first claiming unique determination of unbounded time-dependent coefficients, which is motivated by the problem of determining general

Maximum penalized likelihood estimation in a gamma-frailty model Virginie Rondeau, Daniel Commenges and Pierre Joly... INSERM Unité 330, université Victor Segalen Bordeaux 2, 146