Introduction to asymptotic convergence -- The functional approach -- More results on differentiability -- Multiple root problems -- Differentiability and bias reduction -- Minimum distance estimation and mixture estimation -- L-estimates and trimmed likelihood estimates -- Trimmed likelihood for multivariate data -- Further directions and conclusion.
