Maximum likelihood estimation

A statistical estimation method that finds parameter values maximizing the likelihood of observing the given data. It selects population parameters most consistent with the observed sample. Under regularity conditions, MLE estimators are consistent, asymptotically efficient, and asymptotically normally distributed for large samples.