Bickel PJ, Klaassen CAJ, Ritov Y, Wellner JA (1998) Efficient and adaptive estimation for semiparametric models. Springer, New York MATH Google Scholar
Chambers JM (2008) Software for data analysis. Programming with R. Springer, New York BookMATH Google Scholar
Chambers JM (1998) Programming with data: a guide to the S language. Springer, New York MATH Google Scholar
Hájek J (1972) Local asymptotic minimax and admissibility in estimation. In: Proceedings of 6th Berkeley symposium mathematics statistics probability, vol 1. University of California 1970, pp 175–194
Hampel FR (1968) Contributions to the theory of robust estimation. Dissertation, University of California, Berkely, CA
Hampel FR, Ronchetti EM, Rousseeuw PJ, Stahel WA (1986) Robust statistics. The approach based on influence functions. Wiley, New York MATH Google Scholar
Huber PJ (1997) Robust statistical procedures, 2 edn. In: CBMS-NSF regional conference series in applied mathematics. 68. SIAM, Philadelphia, PA
Le Cam L (1969) Théorie asymptotique de la décision statistique. Les Presses de l’Université de Montréal, Montreal, Canada Google Scholar
Marazzi A (1993) Algorithms, routines, and S functions for robust statistics. The FORTRAN library ROBETH with an interface to S-PLUS. With the collaboration of Johann Joss and Alex Randriamiharisoa. Brooks/Cole Statistics/Probability Series, Wadsworth, URL http://www.iumsp.ch/Unites/us/Alfio/msp_programmes.htm
Marazzi A, Paccaud F, Ruffieux C, Beguin C (1998) Fitting the distributions of length of stay by parametric models. Med Care 36: 915–927 Article Google Scholar
Maronna RA, Martin RD, Yohai VJ (2006) Robust statistics: theory and methods. Wiley, New York BookMATH Google Scholar
Meyer PA (1966) Probabilités et potential. Hermann (Editions Scientifiques), Paris Google Scholar
Pfanzagl J (1994) Parametric statistical theory. De Gruyter Textbook, Berlin MATH Google Scholar
Pfanzagl J (1990) Estimation in semiparametric models. Some recent developments. In: Lecture notes in statistics, 63, Springer, New York
R Development Core Team (2009) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0, URL http://www.R-project.org
Reeds JA (1976) On the definition of von Mises functionals. Ph.D. Thesis, Harvard University, Cambridge
Rutherford E, Geiger H (1910) The probability variations in the distribution of alpha particles. Philos Mag 20: 698–704 Google Scholar
Shevlyakov G, Morgenthaler S, Shurygin A (2008) Redescending M-estimators. J Stat Plan Inference 138(10): 2906–2917 ArticleMATHMathSciNet Google Scholar
Todorov V, Ruckstuhl A, Salibian-Barrera M, Verbeke T, Maechler M (2009) Robustbase: basic Robust statistics. Original code by many authors, notably Rousseeuw P, Croux C, see file ‘Copyrights’, R package version 0.5-0-1, URL http://CRAN.R-project.org/package=robustbase
van der Vaart AW (1998) Asymptotic statistics. Cambridge University Press, Cambridge MATH Google Scholar
Venables WN, Ripley BD (2002) Modern applied statistics with S, 4 edn. Springer, New York MATH Google Scholar
Wang J, Zamar R, Marazzi A, Yohai V, Salibian-Barrera M, Maronna R, Zivot E, Rocke D, Martin D, Maechler M, Konis K (2009) Robust: insightful Robust library. R package version 0.3–9, URL http://CRAN.R-project.org/package=robust
Witting H (1985) Mathematische statistik I: parametrische verfahren bei festem stichprobenumfang. B.G. Teubner, Stuttgart MATH Google Scholar
Yohai VJ (1987) High breakdown-point and high efficiency robust estimates for regression. Ann Stat 15(2): 642–656 ArticleMATHMathSciNet Google Scholar