| Influence measures based on the deletion approach are developed for unmasking the masked observations in a variety of models. These influential observations might have substantial impact on the statistical inference and can also provide important information for model adequacy. A numerical example based on real data is presented. Several applications, including survival studies, longitudinal studies, multivariate analysis, robust statistics and nonparametric regression, are discussed. |