References
- Croux , C. and Haesbroeck , G. 2000 . Principal component analysis based on robust estimators of the covariance or correlation matrix: influence functions and efficiencies . Biometrika , 87 : 603 – 618 .
- Hampel , F. R. , Ronchetti , E. M. , Rousseeuw , P. J. and Stahel , W. A. 1986 . Robust Statistics: The Approach Based on Influence Functions New York : Wiley .
- Huber , P. 1977 . Robust Covariances in Statistical Decision Theory and Related Topics II Academic Press .
- Jaupi , L. and Saporta , G. 1993 . “ Using the influence function in robust principal component analysis ” . In New Directions in Statistical Data Analysis and Robustness Edited by: Morgenthaler , S. , Ronchetti , E. and Stahel , W. A. 147 – 156 . Basel : Birchauser .
- Kendall , M. 1975 . Multivariate Analysis Charles Griffin .
- Mardia , K. V. , Kent , J. T. and Bibby , J. M. 1994 . Multivariate Analysis Academic Press .
- Maronna , R. A. and Yohai , V. 1998 . “ Robust estimation of multivariate location and scatter ” . In Encyclopedia of Statistical Sciences, 2 Edited by: Kotz , S. , Read , C. and Banks , D. 589 – 596 . New York : Wiley .
- Rousseeuw , P. J. and Leroy , M. L. 1987 . Robust Regresion & Outliers Detection New York : Wiley .
- Vaduva , I. Computer generation of random variables and vectors related to PERT problems . Proceedings of the Fourth Conference on Probability Theory . Sept 12–18 , Brasov, Romania.
- Vaduva , I. 1977 . Simulation Models with Computers Romania : Techn. Publ. House. .