Robust Statistics

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. From the Reviews of Robust Statistics " Robust Statistics is required reading for anyone involved in robustness research or desiring to start a research program in robustness." - Journal of the American Statistical Association

Peter J. Huber was formerly a Professor of Statistics at Harvard University and ETH Zurich. Dr. Huber received his Ph.D. in Mathematics from ETH Zurich in 1961.

1. Generalities.

2. The Weak Topology and Its Metrization.

3. The Basic Types of Estimates.

4. Asymptotic Minimax Theory for Estimating a Location Parameter.

5. Scale Estimates.

6. Multiparameter Problems, In Particular Joint Estimation of Location and Scale.

7. Regression.

8. Robust Covariance and Correlation Matrices.

9. Rubustness of Design.

10. Exact Finite Sample Results.

11. Miscellaneous Topics.

References.

Index.

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Summary

Author Biography

Table of Contents

Supplemental Materials