Les modèles non linéaires à effets mixtes - Isped

The incomplete data model
The complete likelihood f of (y, φ) belongs to a parametric family
{f(y, φ; θ), θ ∈ Θ}.
Objectives
Compute the value θ ML that maximises the likelihood g(y; θ) of the
observed data
Estimate the likelihood of the observations g(y; θ ML ).
Estimate the Fisher information matrix −∂ 2 θ log g(y; θML ).
Sminaire ”Statistique et Sant Publique”, Bordeaux - 8 novembre 2005, p.22