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Theory and Applications of Recent Robust Methods

  • Mia Hubert
  • Greet Pison
  • Anja Struyf
  • Stefan Van Aelst

Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages i-xi
  2. J. G. Adrover, V. J. Yohai
    Pages 1-12
  3. G. Bassett, G. Gerber, P. Rocco
    Pages 27-37
  4. S. Engelen, M. Hubert, K. Vanden Branden, S. Verboven
    Pages 105-117
  5. J. Jurečková, J. Picek
    Pages 141-152
  6. A. Kankainen, S. Taskinen, H. Oja
    Pages 153-164
  7. A. Marazzi, V. J. Yohai
    Pages 173-182
  8. S. Morgenthaler, R. E. Welsch, A. Zenide
    Pages 195-206
  9. D. J. Olive
    Pages 221-233
  10. M. R. Oliveira, J. A. Branco, C. Croux, P. Filzmoser
    Pages 235-246
  11. E. Ollila, V. Koivunen
    Pages 247-258
  12. C. Ortelli, F. Trojani
    Pages 271-282
  13. E. Rafalin, D. L. Souvaine
    Pages 283-295
  14. S. Taskinen, A. Kankainen, H. Oja
    Pages 329-341
  15. B. Vandewalle, J. Beirlant, M. Hubert
    Pages 367-376
  16. S. Vanlanduit, P. Guillaume
    Pages 377-385

About these proceedings

Keywords

Likelihood Markov Chain Vibration algorithms calculus geometry linear regression mathematical statistics model programming robust statistics simulation statistical method statistics transformation

Editors and affiliations

  • Mia Hubert
    • 1
  • Greet Pison
    • 2
  • Anja Struyf
    • 3
  • Stefan Van Aelst
    • 2
  1. 1.Department of MathematicsKatholieke Universiteit LeuvenLeuvenBelgium
  2. 2.Department of Applied Mathematics and Computer ScienceGhent UniversityGentBelgium
  3. 3.Department of Mathematics and Computer ScienceUniversity of AntwerpAntwerpBelgium

Bibliographic information