| A multivariate Kolmogorov-Smirnov test of goodness of fit A Justel, D Peña, R Zamar Statistics & probability letters 35 (3), 251-259, 1997 | 679 | 1997 |
| Robust estimates of location and dispersion for high-dimensional datasets RA Maronna, RH Zamar Technometrics 44 (4), 307-317, 2002 | 542 | 2002 |
| High breakdown-point estimates of regression by means of the minimization of an efficient scale VJ Yohai, RH Zamar Journal of the American statistical association 83 (402), 406-413, 1988 | 472 | 1988 |
| Robust linear model selection based on least angle regression JA Khan, S Van Aelst, RH Zamar Journal of the American Statistical Association 102 (480), 1289-1299, 2007 | 258 | 2007 |
| A procedure for robust estimation and inference in linear regression W Stahel, S Weisberg, VJ Yohai, WA Stahel, RH Zamar Directions in robust statistics and diagnostics: Part II, 365-374, 1991 | 217 | 1991 |
| Bootstrapping robust estimates of regression M Salibian-Barrera, RH Zamar Annals of Statistics, 556-582, 2002 | 205 | 2002 |
| Min-max bias robust regression RD Martin, VJ Yohai, RH Zamar The Annals of Statistics 17 (4), 1608-1630, 1989 | 197 | 1989 |
| Propagation of outliers in multivariate data F Alqallaf, S Van Aelst, VJ Yohai, RH Zamar The Annals of Statistics, 311-331, 2009 | 191 | 2009 |
| Statistical challenges of administrative and transaction data DJ Hand Journal of the Royal Statistical Society Series A: Statistics in Society 181 …, 2018 | 166 | 2018 |
| Robust estimation in the errors-in-variables model RH Zamar Biometrika 76 (1), 149-160, 1989 | 127 | 1989 |
| Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination C Agostinelli, A Leung, VJ Yohai, RH Zamar Test 24, 441-461, 2015 | 121 | 2015 |
| Optimal locally robust M-estimates of regression VJ Yohai, RH Zamar Journal of Statistical Planning and Inference 64 (2), 309-323, 1997 | 119 | 1997 |
| Scalable robust covariance and correlation estimates for data mining FA Alqallaf, KP Konis, RD Martin, RH Zamar Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 98 | 2002 |
| Comparing the shapes of regression functions NE Heckman, RH Zamar Biometrika 87 (1), 135-144, 2000 | 97 | 2000 |
| CLUES: A non-parametric clustering method based on local shrinking X Wang, W Qiu, RH Zamar Computational Statistics & Data Analysis 52 (1), 286-298, 2007 | 90 | 2007 |
| Bias robust estimation of scale RD Martin, RH Zamar The Annals of Statistics 21 (2), 991-1017, 1993 | 87 | 1993 |
| Linear grouping using orthogonal regression S Van Aelst, XS Wang, RH Zamar, R Zhu Computational Statistics & Data Analysis 50 (5), 1287-1312, 2006 | 81 | 2006 |
| clues: an R package for nonparametric clustering based on local shrinking F Chang, W Qiu, RH Zamar, R Lazarus, X Wang Journal of Statistical Software 33, 1-16, 2010 | 74 | 2010 |
| Building a robust linear model with forward selection and stepwise procedures JA Khan, S Van Aelst, RH Zamar Computational Statistics & Data Analysis 52 (1), 239-248, 2007 | 71 | 2007 |
| Robust space transformations for distance-based operations EM Knorr, RT Ng, RH Zamar Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 64 | 2001 |
