Robust Statistical Procedures (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 27)

Here is a brief, and easy-to-follow introduction and overview of robust statistics. Peter Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed model (usually the Gaussian law). An additional chapter on recent developments in robustness has been added and the reference list has been expanded and updated from the 1977 edition.

Peter J. Huber is Professor of Statistics at the University of Bayreuth in Germany.