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 Peter J. Rousseeuw  


  
Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
Peter J. Rousseeuw, Annick M. Leroy

Wiley-Interscience, 2003

great book on an interesting topic
These authors provide an excellent guide to the available theory of robust regression. Graphical methods are well used to bring home the points. I have always liked looking at outliers and robustness from an influence function viewpoint and the authors do an excellent ...
  
  











  



  
Finding Groups in Data: An Introduction to Cluster Analysis (Wiley Series in Probability and Statistics)
Leonard Kaufman, Peter J. Rousseeuw

Wiley-Interscience, 2005

Excellent Book in Cluster Analysis
For those readers complaining about the source code, they are currently implemented in S-Plus (and probably in the free public R project). The current S-PLUS codes are very user friendly. If you have the S-Plus manual, you dont need this book for simple routine. ...
  
  











  



  
Robust Statistics: The Approach Based on Influence Functions (Wiley Series in Probability and Statistics)
Frank R. Hampel, Elvezio M. Ronchetti, ...

Wiley-Interscience, 2005

a Wiley classic
This is an excellent by Hampel and his colleagues. Hampel in the 1970s introduced the concept of the influence function as a measure for assessing the robustness of an estimator. The influence function evaluated at a point x shows how much a single observed value of ...
  
  











  



  
Developments in Robust Statistics: International Conference on Robust Statistics 2001

Physica-Verlag Heidelberg, 2002

Aspects of Robust Statistics are important in many areas. Based on the International Conference on Robust Statistics 2001 (ICORS 2001) in Vorau, Austria, this volume discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers. The papers cover a ...
  
  











  



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