ROBETH

ROBETH is the program library for robust statistical procedures described in the book entitled ”Algorithms, Routines and S-Plus Functions” by A. Marazzi (Wadsworth and Brooks/Cole, 1993; reprinted by Chapman Hall). ROBETH has been interfaced to the statistical environments S-Plus and R.


References in zbMATH (referenced in 43 articles , 2 standard articles )

Showing results 1 to 20 of 43.
Sorted by year (citations)

1 2 3 next

  1. Agostinelli, Claudio; Valdora, Marina; Yohai, Victor J.: Initial robust estimation in generalized linear models (2019)
  2. Hable, Robert: Minimum distance estimation in imprecise probability models (2010)
  3. Kohl, Matthias; Ruckdeschel, Peter; Rieder, Helmut: Infinitesimally robust estimation in general smoothly parametrized models (2010)
  4. Arunajadai, Srikesh G.: A point process driven multiple change point model: a robust resistant approach (2009)
  5. Gottwald, Georg A.; Melbourne, Ian: On the implementation of the 0-1 test for chaos (2009)
  6. Hampel, Frank: Nonadditive probabilities in statistics (2009)
  7. Heritier, Stephane; Cantoni, Eva; Copt, Samuel; Victoria-Feser, Maria-Pia: Robust methods in biostatistics. (2009)
  8. Hussain, S.; Mohamed, M. A.; Holder, R.; Almasri, A.; Shukur, G.: Performance evaluation based on the robust Mahalanobis distance and multilevel modeling using two new strategies (2008)
  9. Bachmaier, Martin: Consistency of completely outlier-adjusted simultaneous redescending M-estimators of location and scale (2007)
  10. Bellio, Ruggero: Algorithms for bounded-influence estimation (2007)
  11. Jurečkova, Jana; Picek, Jan: Robust statistical methods with R. (2006)
  12. Jearkpaporn, D.; Montgomery, D. C.; Runger, G. C.; Borror, C. M.: Model-based process monitoring using robust generalized linear models (2005)
  13. Cantoni, Eva: A robust approach to longitudinal data analysis (2004)
  14. Heritier, Stéphane; Ronchetti, Elvezio: Robust binary regression with continuous outcomes (2004)
  15. Zioutas, G.: Quadratic mixed integer programming models in minimax robust regression estimators (2004)
  16. Chen, C.: Robust tools in SAS (2003)
  17. Speed, Terry (ed.): Statistical analysis of gene expression microarray data. (2003)
  18. Camarinopoulos, L.; Zioutas, G.: Formulating robust regression estimation as an optimum allocation problem (2002)
  19. Wisnowski, J. W.; Montgomery, D. C.; Simpson, J. R.: A comparative analysis of multiple outlier detection procedures in the linear regression model. (2001)
  20. You, Jiazhong: A Monte Carlo comparison of several high breakdown and efficient estimators (1999)

1 2 3 next