  Considering voting rules based on evaluation inputs rather than preference
rankings modifies the paradigm of probabilistic studies of voting procedures.
This article proposes several simulation models for generating evaluation-based
voting inputs. These models can cope with dependent and non identical marginal
distributions of the evaluations received by the candidates. A last part is
devoted to fitting these models to real data sets.
