  Consider the mean-field spin models where the Gibbs measure of each
configuration depends only on its magnetization. Based on the Stein and Laplace
methods, we give a new and short proof for the scaling limit theorems with
convergence rate for the magnetization in a perturbed model. As an application,
we derive the scaling limit theorems for the maximum likelihood estimator in
linear models.
