Danilov, Mike; Yohai, Víctor J.; Zamar, Ruben H. - In: Journal of the American Statistical Association 107 (2012) 499, pp. 1178-1186
Two main issues regarding data quality are data contamination (outliers) and data completion (missing data). These two problems have attracted much attention and research but surprisingly, they are seldom considered together. Popular robust methods such as <italic>S</italic>-estimators of multivariate location...