Maximum-likelihood estimator

An MLE maximizes sample likelihood. Regularly, $\sqrt{n}(\hat{\theta }-\theta )\Rightarrow N(0,I(\theta {)}^{-1})$; parameter-dependent support can change both rate and limit.